ROS robotics projects : make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems
Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported o...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Joseph, Lentin [verfasserIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
Birmingham, England: Packt Publishing ; 2017 ©2017 |
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| Schlagwörter: | |
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| Schlagwörter: |
| Systematik: |
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| Umfang: |
1 Online-Ressource (428 Seiten) |
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| Weitere Ausgabe: |
Erscheint auch als Druck-Ausgabe Joseph, Lentin: ROS robotics projects - Birmingham : Packt Publishing Limited, 2017 |
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| Links: | |
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| ISBN: |
978-1-78355-472-0 |
| Katalog-ID: |
884939146 |
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| 245 | 1 | 0 | |a ROS robotics projects |b make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems |c Joseph Lentin |
| 264 | 1 | |a Birmingham, England |b Packt Publishing |c 2017 | |
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| 300 | |a 1 Online-Ressource (428 Seiten) | ||
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| 520 | |a Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt | ||
| 520 | |a Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures | ||
| 520 | |a Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network | ||
| 520 | |a Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes | ||
| 520 | |a Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool | ||
| 520 | |a Installing the ROS driver for the Leap Motion controller | ||
| 650 | 0 | |a Robots--Programming | |
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ebook 9781783554720 : electronic bk. 978-1-78355-472-0 (DE-627)884939146 (DE-576)500487618 (DE-599)GBV884939146 (OCoLC)1021103940 (OCoLC)1030382657 (EBP)013927175 (EBL)4835406 (EBR)11369398 (EBC)EBC4835406 DE-627 eng DE-627 rda eng 629.89200000000005 ST 300 rvk (DE-625)rvk/143650: 54.72 bkl Joseph, Lentin verfasserin (DE-588)1076048358 (DE-627)834221047 (DE-576)444827374 aut ROS robotics projects make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems Joseph Lentin Birmingham, England Packt Publishing 2017 ©2017 1 Online-Ressource (428 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller Robots--Programming Robots Programming Robotics Popular works Robots ; Programming Electronic books s (DE-588)1135309531 (DE-627)890266182 (DE-576)489761771 Robot Operating System gnd DE-101 s (DE-588)4261462-4 (DE-627)104630280 (DE-576)210598069 Robotik gnd (DE-627) 9781783554713 Erscheint auch als Druck-Ausgabe Joseph, Lentin ROS robotics projects Birmingham : Packt Publishing Limited, 2017 ix, 431 Seiten (DE-627)885592298 (DE-576)513932992 9781783554713 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=4835406 X:EBC Verlag lizenzpflichtig Volltext ZDB-30-PQE GBV_ILN_370 ISIL_DE-1373 SYSFLAG_1 GBV_KXP GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2148 ISIL_DE-950 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X BO 045F 629.89200000000005 370 01 4370 3646610115 olr-ebook ebc Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 05-05-20 2020 01 DE-Ch1 3365190856 00 --%%-- --%%-- n n Campuslizenz l01 15-05-18 2059 01 DE-Kon4 3365190988 00 --%%-- eBook ebcentral --%%-- n Elektronischer Volltext - Campuslizenz l01 06-03-18 2148 01 DE-950 4073046519 00 --%%-- eBook ProQuest --%%-- n PDA-Angebot - nur für Hochschulangehörige der HfWU l01 24-02-22 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ebookcentral.proquest.com/lib/hcuhamburg-ebooks/detail.action?docID=4835406 2020 01 DE-Ch1 https://ebookcentral.proquest.com/lib/tuchemnitz/detail.action?docID=4835406 2059 01 DE-Kon4 https://ebookcentral.proquest.com/lib/htwg-konstanz/detail.action?docID=4835406 2148 01 DE-950 https://ebookcentral.proquest.com/lib/hfwu/detail.action?docID=4835406 370 01 4370 olr-ebook ebc 370 01 4370 ACQ 370 01 4370 2020.05.05 |
| spelling |
ebook 9781783554720 : electronic bk. 978-1-78355-472-0 (DE-627)884939146 (DE-576)500487618 (DE-599)GBV884939146 (OCoLC)1021103940 (OCoLC)1030382657 (EBP)013927175 (EBL)4835406 (EBR)11369398 (EBC)EBC4835406 DE-627 eng DE-627 rda eng 629.89200000000005 ST 300 rvk (DE-625)rvk/143650: 54.72 bkl Joseph, Lentin verfasserin (DE-588)1076048358 (DE-627)834221047 (DE-576)444827374 aut ROS robotics projects make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems Joseph Lentin Birmingham, England Packt Publishing 2017 ©2017 1 Online-Ressource (428 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller Robots--Programming Robots Programming Robotics Popular works Robots ; Programming Electronic books s (DE-588)1135309531 (DE-627)890266182 (DE-576)489761771 Robot Operating System gnd DE-101 s (DE-588)4261462-4 (DE-627)104630280 (DE-576)210598069 Robotik gnd (DE-627) 9781783554713 Erscheint auch als Druck-Ausgabe Joseph, Lentin ROS robotics projects Birmingham : Packt Publishing Limited, 2017 ix, 431 Seiten (DE-627)885592298 (DE-576)513932992 9781783554713 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=4835406 X:EBC Verlag lizenzpflichtig Volltext ZDB-30-PQE GBV_ILN_370 ISIL_DE-1373 SYSFLAG_1 GBV_KXP GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2148 ISIL_DE-950 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X BO 045F 629.89200000000005 370 01 4370 3646610115 olr-ebook ebc Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 05-05-20 2020 01 DE-Ch1 3365190856 00 --%%-- --%%-- n n Campuslizenz l01 15-05-18 2059 01 DE-Kon4 3365190988 00 --%%-- eBook ebcentral --%%-- n Elektronischer Volltext - Campuslizenz l01 06-03-18 2148 01 DE-950 4073046519 00 --%%-- eBook ProQuest --%%-- n PDA-Angebot - nur für Hochschulangehörige der HfWU l01 24-02-22 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ebookcentral.proquest.com/lib/hcuhamburg-ebooks/detail.action?docID=4835406 2020 01 DE-Ch1 https://ebookcentral.proquest.com/lib/tuchemnitz/detail.action?docID=4835406 2059 01 DE-Kon4 https://ebookcentral.proquest.com/lib/htwg-konstanz/detail.action?docID=4835406 2148 01 DE-950 https://ebookcentral.proquest.com/lib/hfwu/detail.action?docID=4835406 370 01 4370 olr-ebook ebc 370 01 4370 ACQ 370 01 4370 2020.05.05 |
| allfields_unstemmed |
ebook 9781783554720 : electronic bk. 978-1-78355-472-0 (DE-627)884939146 (DE-576)500487618 (DE-599)GBV884939146 (OCoLC)1021103940 (OCoLC)1030382657 (EBP)013927175 (EBL)4835406 (EBR)11369398 (EBC)EBC4835406 DE-627 eng DE-627 rda eng 629.89200000000005 ST 300 rvk (DE-625)rvk/143650: 54.72 bkl Joseph, Lentin verfasserin (DE-588)1076048358 (DE-627)834221047 (DE-576)444827374 aut ROS robotics projects make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems Joseph Lentin Birmingham, England Packt Publishing 2017 ©2017 1 Online-Ressource (428 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller Robots--Programming Robots Programming Robotics Popular works Robots ; Programming Electronic books s (DE-588)1135309531 (DE-627)890266182 (DE-576)489761771 Robot Operating System gnd DE-101 s (DE-588)4261462-4 (DE-627)104630280 (DE-576)210598069 Robotik gnd (DE-627) 9781783554713 Erscheint auch als Druck-Ausgabe Joseph, Lentin ROS robotics projects Birmingham : Packt Publishing Limited, 2017 ix, 431 Seiten (DE-627)885592298 (DE-576)513932992 9781783554713 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=4835406 X:EBC Verlag lizenzpflichtig Volltext ZDB-30-PQE GBV_ILN_370 ISIL_DE-1373 SYSFLAG_1 GBV_KXP GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2148 ISIL_DE-950 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X BO 045F 629.89200000000005 370 01 4370 3646610115 olr-ebook ebc Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 05-05-20 2020 01 DE-Ch1 3365190856 00 --%%-- --%%-- n n Campuslizenz l01 15-05-18 2059 01 DE-Kon4 3365190988 00 --%%-- eBook ebcentral --%%-- n Elektronischer Volltext - Campuslizenz l01 06-03-18 2148 01 DE-950 4073046519 00 --%%-- eBook ProQuest --%%-- n PDA-Angebot - nur für Hochschulangehörige der HfWU l01 24-02-22 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ebookcentral.proquest.com/lib/hcuhamburg-ebooks/detail.action?docID=4835406 2020 01 DE-Ch1 https://ebookcentral.proquest.com/lib/tuchemnitz/detail.action?docID=4835406 2059 01 DE-Kon4 https://ebookcentral.proquest.com/lib/htwg-konstanz/detail.action?docID=4835406 2148 01 DE-950 https://ebookcentral.proquest.com/lib/hfwu/detail.action?docID=4835406 370 01 4370 olr-ebook ebc 370 01 4370 ACQ 370 01 4370 2020.05.05 |
| allfieldsGer |
ebook 9781783554720 : electronic bk. 978-1-78355-472-0 (DE-627)884939146 (DE-576)500487618 (DE-599)GBV884939146 (OCoLC)1021103940 (OCoLC)1030382657 (EBP)013927175 (EBL)4835406 (EBR)11369398 (EBC)EBC4835406 DE-627 eng DE-627 rda eng 629.89200000000005 ST 300 rvk (DE-625)rvk/143650: 54.72 bkl Joseph, Lentin verfasserin (DE-588)1076048358 (DE-627)834221047 (DE-576)444827374 aut ROS robotics projects make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems Joseph Lentin Birmingham, England Packt Publishing 2017 ©2017 1 Online-Ressource (428 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller Robots--Programming Robots Programming Robotics Popular works Robots ; Programming Electronic books s (DE-588)1135309531 (DE-627)890266182 (DE-576)489761771 Robot Operating System gnd DE-101 s (DE-588)4261462-4 (DE-627)104630280 (DE-576)210598069 Robotik gnd (DE-627) 9781783554713 Erscheint auch als Druck-Ausgabe Joseph, Lentin ROS robotics projects Birmingham : Packt Publishing Limited, 2017 ix, 431 Seiten (DE-627)885592298 (DE-576)513932992 9781783554713 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=4835406 X:EBC Verlag lizenzpflichtig Volltext ZDB-30-PQE GBV_ILN_370 ISIL_DE-1373 SYSFLAG_1 GBV_KXP GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2148 ISIL_DE-950 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X BO 045F 629.89200000000005 370 01 4370 3646610115 olr-ebook ebc Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 05-05-20 2020 01 DE-Ch1 3365190856 00 --%%-- --%%-- n n Campuslizenz l01 15-05-18 2059 01 DE-Kon4 3365190988 00 --%%-- eBook ebcentral --%%-- n Elektronischer Volltext - Campuslizenz l01 06-03-18 2148 01 DE-950 4073046519 00 --%%-- eBook ProQuest --%%-- n PDA-Angebot - nur für Hochschulangehörige der HfWU l01 24-02-22 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ebookcentral.proquest.com/lib/hcuhamburg-ebooks/detail.action?docID=4835406 2020 01 DE-Ch1 https://ebookcentral.proquest.com/lib/tuchemnitz/detail.action?docID=4835406 2059 01 DE-Kon4 https://ebookcentral.proquest.com/lib/htwg-konstanz/detail.action?docID=4835406 2148 01 DE-950 https://ebookcentral.proquest.com/lib/hfwu/detail.action?docID=4835406 370 01 4370 olr-ebook ebc 370 01 4370 ACQ 370 01 4370 2020.05.05 |
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ebook 9781783554720 : electronic bk. 978-1-78355-472-0 (DE-627)884939146 (DE-576)500487618 (DE-599)GBV884939146 (OCoLC)1021103940 (OCoLC)1030382657 (EBP)013927175 (EBL)4835406 (EBR)11369398 (EBC)EBC4835406 DE-627 eng DE-627 rda eng 629.89200000000005 ST 300 rvk (DE-625)rvk/143650: 54.72 bkl Joseph, Lentin verfasserin (DE-588)1076048358 (DE-627)834221047 (DE-576)444827374 aut ROS robotics projects make your robots see, sense, and interact with cool and egaging projects with Robotic Operating Systems Joseph Lentin Birmingham, England Packt Publishing 2017 ©2017 1 Online-Ressource (428 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller Robots--Programming Robots Programming Robotics Popular works Robots ; Programming Electronic books s (DE-588)1135309531 (DE-627)890266182 (DE-576)489761771 Robot Operating System gnd DE-101 s (DE-588)4261462-4 (DE-627)104630280 (DE-576)210598069 Robotik gnd (DE-627) 9781783554713 Erscheint auch als Druck-Ausgabe Joseph, Lentin ROS robotics projects Birmingham : Packt Publishing Limited, 2017 ix, 431 Seiten (DE-627)885592298 (DE-576)513932992 9781783554713 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=4835406 X:EBC Verlag lizenzpflichtig Volltext ZDB-30-PQE GBV_ILN_370 ISIL_DE-1373 SYSFLAG_1 GBV_KXP GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2059 ISIL_DE-Kon4 GBV_ILN_2148 ISIL_DE-950 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 54.72 Künstliche Intelligenz SEPA (DE-627)10641240X BO 045F 629.89200000000005 370 01 4370 3646610115 olr-ebook ebc Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 05-05-20 2020 01 DE-Ch1 3365190856 00 --%%-- --%%-- n n Campuslizenz l01 15-05-18 2059 01 DE-Kon4 3365190988 00 --%%-- eBook ebcentral --%%-- n Elektronischer Volltext - Campuslizenz l01 06-03-18 2148 01 DE-950 4073046519 00 --%%-- eBook ProQuest --%%-- n PDA-Angebot - nur für Hochschulangehörige der HfWU l01 24-02-22 370 01 4370 E-Book: Zugriff im HCU-Netz. 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code="c">2017</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (428 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- 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Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller |
| abstractGer |
Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller |
| abstract_unstemmed |
Cover -- Copyright -- Credits -- About the Author -- Acknowledgements -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with ROS Robotics Application Development -- Getting started with ROS -- ROS distributions -- Supported operating systems -- Robots and sensors supported by ROS -- Why ROS -- Fundamentals of ROS -- The filesystem level -- The computation graph level -- The ROS community level -- Communication in ROS -- ROS client libraries -- ROS tools -- Rviz (ROS Visualizer) -- rqt_plot -- rqt_graph -- Simulators of ROS -- Installing ROS kinetic on Ubuntu 16.04 LTS -- Getting started with the installation -- Configuring Ubuntu repositories -- Setting up source.list -- Setting up keys -- Installing ROS -- Initializing rosdep -- Setting the ROS environment -- Getting rosinstall -- Setting ROS on VirtualBox -- Setting the ROS workspace -- Opportunities for ROS in industries and research -- Questions -- Summary -- Chapter 2: Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos -- Overview of the project -- Hardware and software prerequisites -- Installing dependent ROS packages -- Installing the usb_cam ROS package -- Creating a ROS workspace for dependencies -- Interfacing Dynamixel with ROS -- Installing the ROS dynamixel_motor packages -- Creating face tracker ROS packages -- The interface between ROS and OpenCV -- Working with the face-tracking ROS package -- Understanding the face tracker code -- Understanding CMakeLists.txt -- The track.yaml file -- The launch files -- Running the face tracker node -- The face_tracker_control package -- The start_dynamixel launch file -- The pan controller launch file -- The pan controller configuration file -- The servo parameters configuration file -- The face tracker controller node -- Creating CMakeLists.txt Testing the face tracker control package -- Bringing all the nodes together -- Fixing the bracket and setting up the circuit -- The final run -- Questions -- Summary -- Chapter 3: Building a Siri-Like Chatbot in ROS -- Social robots -- Building social robots -- Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- [Monitoring light using Arduino and ROS] -- Monitoring light using Arduino and ROS -- Running ROS serial server on PC -- Interfacing STM32 boards to ROS using mbed -- Interfacing Tiva C Launchpad boards with ROS using Energia -- Running ROS on Raspberry Pi and Odroid boards -- Connecting Raspberry Pi and Odroid to PC -- Controlling GPIO pins from ROS -- Creating a ROS package for the blink demo -- Running the LED blink demo on Raspberry Pi and Odroid -- Questions -- Summary -- Chapter 5: Teleoperate a Robot Using Hand Gestures -- Teleoperating ROS Turtle using a keyboard -- Teleoperating using hand gestures Setting up the project -- Interfacing the MPU-9250 with the Arduino and ROS -- The Arduino-IMU interfacing code -- Visualizing IMU TF in Rviz -- Converting IMU data into twist messages -- Integration and final run -- Teleoperating using an Android phone -- Questions -- Summary -- Chapter 6: Object Detection and Recognition -- Getting started with object detection and recognition -- The find_object_2d package in ROS -- Installing find_object_2d -- Installing from source code -- Running find_object_2d nodes using webcams -- Running find_object_2d nodes using depth sensors -- Getting started with 3D object recognition -- Introduction to 3D object recognition packages in ROS -- Installing ORK packages in ROS -- Detecting and recognizing objects from 3D meshes -- Training using 3D models of an object -- Training from captured 3D models -- Recognizing objects -- Questions -- Summary -- Chapter 7: Deep Learning Using ROS and TensorFlow -- Introduction to deep learning and its applications -- Deep learning for robotics -- Deep learning libraries -- Getting started with TensorFlow -- Installing TensorFlow on Ubuntu 16.04 LTS -- TensorFlow concepts -- Graph -- Session -- Variables -- Fetches -- Feeds -- Writing our first code in TensorFlow -- Image recognition using ROS and TensorFlow -- Prerequisites -- The ROS image recognition node -- Running the ROS image recognition node -- Introducing to scikit-learn -- Installing scikit-learn on Ubuntu 16.04 LTS -- Introducing to SVM and its application in robotics -- Implementing an SVM-ROS application -- Questions -- Summary -- Chapter 8: ROS on MATLAB and Android -- Getting started with the ROS-MATLAB interface -- Setting Robotics Toolbox in MATLAB -- Basic ROS functions in MATLAB -- Initializing a ROS network -- Listing ROS nodes, topics, and messages -- Communicating from MATLAB to a ROS network Controlling a ROS robot from MATLAB -- Designing the MATLAB GUI application -- Explaining callbacks -- Running the application -- Getting started with Android and its ROS interface -- Installing rosjava -- Installing from the Ubuntu package manager -- Installing from source code -- Installing android-sdk from the Ubuntu package manager -- Installing android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool Installing the ROS driver for the Leap Motion controller |
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Prerequisites -- Getting started with AIML -- AIML tags -- The PyAIML interpreter -- Installing PyAIML on Ubuntu 16.04 LTS -- Playing with PyAIML -- Loading multiple AIML files -- Creating an AIML bot in ROS -- The AIML ROS package -- Installing the ROS sound_play package -- Installing the dependencies of sound_play -- Installing the sound_play ROS package -- Creating the ros_aiml package -- The aiml_server node -- The AIML client node -- The aiml_tts client node -- The AIML speech recognition node -- start_chat.launch -- start_tts_chat.launch -- start_speech_chat.launch -- Questions -- Summary -- Chapter 4: Controlling Embedded Boards Using ROS -- Getting started with popular embedded boards -- An introduction to Arduino boards -- How to choose an Arduino board for your robot -- Getting started with STM32 and TI Launchpads -- The Tiva C Launchpad -- Introducing the Raspberry Pi -- How to choose a Raspberry Pi board for your robot -- The Odroid board -- Interfacing Arduino with ROS -- 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android-sdk from prebuilt binaries -- Installing the ROS-Android interface -- Playing with ROS-Android applications -- Troubleshooting -- Android-ROS publisher-subscriber application -- The teleop application -- The ROS Android camera application -- Making the Android device the ROS master -- Code walkthrough -- Creating basic applications using the ROS-Android interface -- Troubleshooting tips -- Questions -- Summary -- Chapter 9: Building an Autonomous Mobile Robot -- Robot specification and design overview -- Designing and selecting the motors and wheels for the robot -- Computing motor torque -- Calculation of motor RPM -- Design summary -- Building 2D and 3D models of the robot body -- The base plate -- The pole and tube design -- The motor, wheel, and motor clamp design -- The caster wheel design -- Middle plate and top plate design -- The top plate -- 3D modeling of the robot -- Simulating the robot model in Gazebo -- Mathematical model of a differential drive robot -- Simulating Chefbot -- Building the URDF model of Chefbot -- Inserting 3D CAD parts into URDF as links -- Inserting Gazebo controllers into URDF -- Running the simulation -- Mapping and localization -- Designing and building actual robot hardware -- Motor and motor driver -- Motor encoders -- Tiva C Launchpad -- Ultrasonic sensor -- -- OpenNI depth sensor -- Intel NUC -- Interfacing sensors and motors with the Launchpad -- Programming the Tiva C Launchpad -- Interfacing robot hardware with ROS -- Running Chefbot ROS driver nodes</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Gmapping and localization in Chefbot -- Questions -- Summary -- Chapter 10: Creating a Self-Driving Car Using ROS -- Getting started with self-driving cars -- History of autonomous vehicles -- Levels of autonomy -- Functional block diagram of a typical self-driving car -- [GPS, IMU, and wheel encoders] -- GPS, IMU, and wheel encoders -- Xsens MTi IMU -- Camera -- Ultrasonic sensors -- LIDAR and RADAR -- Velodyne HDL-64 LIDAR -- SICK LMS 5xx/1xx and Hokuyo LIDAR -- Continental ARS 300 radar (ARS) -- Delphi radar -- On-board computer -- Software block diagram of self-driving cars -- Simulating the Velodyne LIDAR -- Interfacing Velodyne sensors with ROS -- Simulating a laser scanner -- Explaining the simulation code -- Interfacing laser scanners with ROS -- Simulating stereo and mono cameras in Gazebo -- Interfacing cameras with ROS -- Simulating GPS in Gazebo -- Interfacing GPS with ROS -- Simulating IMU on Gazebo -- Interfacing IMUs with ROS -- Simulating an ultrasonic sensor in Gazebo -- Low-cost LIDAR sensors -- Sweep LIDAR -- RPLIDAR -- Simulating a self-driving car with sensors in Gazebo -- Installing prerequisites -- Visualizing robotic car sensor data -- Moving a self-driving car in Gazebo -- Running hector SLAM using a robotic car -- Interfacing a DBW car with ROS -- Installing packages -- Visualizing the self-driving car and sensor data -- Communicating with DBW from ROS -- Introducing the Udacity open source self-driving car project -- [MATLAB ADAS toolbox] -- MATLAB ADAS toolbox -- Questions -- Summary -- Chapter 11: Teleoperating a Robot Using a VR Headset and Leap Motion -- Getting started with a VR headset and Leap Motion -- Project prerequisites -- Design and working of the project -- Installing the Leap Motion SDK on Ubuntu 14.04.5 -- Visualizing Leap Motion controller data -- Playing with the Leap Motion visualizer tool</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Installing the ROS driver for the Leap Motion controller</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Robots--Programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Robots</subfield><subfield code="x">Programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Robotics</subfield><subfield code="x">Popular 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