Artificial intelligence and robotic assembly
Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the r...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
ElMaraghy, Hoda A. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1987 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag New York Inc 1987 |
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| Übergeordnetes Werk: |
Enthalten in: Engineering with computers - Springer-Verlag, 1985, 2(1987), 3 vom: Sept., Seite 147-155 |
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| Übergeordnetes Werk: |
volume:2 ; year:1987 ; number:3 ; month:09 ; pages:147-155 |
| Links: |
|---|
| DOI / URN: |
10.1007/BF01201262 |
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| Katalog-ID: |
OLC2064353763 |
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| 520 | |a Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. | ||
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10.1007/BF01201262 doi (DE-627)OLC2064353763 (DE-He213)BF01201262-p DE-627 ger DE-627 rakwb eng 004 600 VZ ElMaraghy, Hoda A. verfasserin aut Artificial intelligence and robotic assembly 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag New York Inc 1987 Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. Sensor Feedback Intelligent Robot Industrial Robot Robot Move Task Planning Enthalten in Engineering with computers Springer-Verlag, 1985 2(1987), 3 vom: Sept., Seite 147-155 (DE-627)129175404 (DE-600)51529-2 (DE-576)014455536 0177-0667 nnns volume:2 year:1987 number:3 month:09 pages:147-155 https://doi.org/10.1007/BF01201262 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4103 GBV_ILN_4266 GBV_ILN_4313 GBV_ILN_4318 GBV_ILN_4319 GBV_ILN_4700 AR 2 1987 3 09 147-155 |
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10.1007/BF01201262 doi (DE-627)OLC2064353763 (DE-He213)BF01201262-p DE-627 ger DE-627 rakwb eng 004 600 VZ ElMaraghy, Hoda A. verfasserin aut Artificial intelligence and robotic assembly 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag New York Inc 1987 Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. Sensor Feedback Intelligent Robot Industrial Robot Robot Move Task Planning Enthalten in Engineering with computers Springer-Verlag, 1985 2(1987), 3 vom: Sept., Seite 147-155 (DE-627)129175404 (DE-600)51529-2 (DE-576)014455536 0177-0667 nnns volume:2 year:1987 number:3 month:09 pages:147-155 https://doi.org/10.1007/BF01201262 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4103 GBV_ILN_4266 GBV_ILN_4313 GBV_ILN_4318 GBV_ILN_4319 GBV_ILN_4700 AR 2 1987 3 09 147-155 |
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10.1007/BF01201262 doi (DE-627)OLC2064353763 (DE-He213)BF01201262-p DE-627 ger DE-627 rakwb eng 004 600 VZ ElMaraghy, Hoda A. verfasserin aut Artificial intelligence and robotic assembly 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag New York Inc 1987 Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. Sensor Feedback Intelligent Robot Industrial Robot Robot Move Task Planning Enthalten in Engineering with computers Springer-Verlag, 1985 2(1987), 3 vom: Sept., Seite 147-155 (DE-627)129175404 (DE-600)51529-2 (DE-576)014455536 0177-0667 nnns volume:2 year:1987 number:3 month:09 pages:147-155 https://doi.org/10.1007/BF01201262 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4103 GBV_ILN_4266 GBV_ILN_4313 GBV_ILN_4318 GBV_ILN_4319 GBV_ILN_4700 AR 2 1987 3 09 147-155 |
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10.1007/BF01201262 doi (DE-627)OLC2064353763 (DE-He213)BF01201262-p DE-627 ger DE-627 rakwb eng 004 600 VZ ElMaraghy, Hoda A. verfasserin aut Artificial intelligence and robotic assembly 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag New York Inc 1987 Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. Sensor Feedback Intelligent Robot Industrial Robot Robot Move Task Planning Enthalten in Engineering with computers Springer-Verlag, 1985 2(1987), 3 vom: Sept., Seite 147-155 (DE-627)129175404 (DE-600)51529-2 (DE-576)014455536 0177-0667 nnns volume:2 year:1987 number:3 month:09 pages:147-155 https://doi.org/10.1007/BF01201262 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4103 GBV_ILN_4266 GBV_ILN_4313 GBV_ILN_4318 GBV_ILN_4319 GBV_ILN_4700 AR 2 1987 3 09 147-155 |
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10.1007/BF01201262 doi (DE-627)OLC2064353763 (DE-He213)BF01201262-p DE-627 ger DE-627 rakwb eng 004 600 VZ ElMaraghy, Hoda A. verfasserin aut Artificial intelligence and robotic assembly 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag New York Inc 1987 Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. Sensor Feedback Intelligent Robot Industrial Robot Robot Move Task Planning Enthalten in Engineering with computers Springer-Verlag, 1985 2(1987), 3 vom: Sept., Seite 147-155 (DE-627)129175404 (DE-600)51529-2 (DE-576)014455536 0177-0667 nnns volume:2 year:1987 number:3 month:09 pages:147-155 https://doi.org/10.1007/BF01201262 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_22 GBV_ILN_23 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2018 GBV_ILN_4046 GBV_ILN_4103 GBV_ILN_4266 GBV_ILN_4313 GBV_ILN_4318 GBV_ILN_4319 GBV_ILN_4700 AR 2 1987 3 09 147-155 |
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ElMaraghy, Hoda A. |
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Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. © Springer-Verlag New York Inc 1987 |
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Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. © Springer-Verlag New York Inc 1987 |
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Abstract Traditionally, most industrial robots are programmed by teaching. The emergence of robot-level programming languages has improved the programmer's ability to describe and modify the robot moves. However, commercially available robot-level programming languages still fall short of the robot user's need to program complex tasks, and consequently, are not widely used in industry. There is an increasing need for integrating sensors feedback into the robot system to provide better perception and for improving the capacity of the robot to reason and make decisions intelligently in real time. The role of artificial intelligence in programming and controlling robots is discussed. Available robot programming systems including robot-level, object-level, and task-level languages are reviewed. The importance of developing intelligent robots in broadening the scope of flexible automation and opening the door to new robotic applications in space, under water and in harsh environments is outlined. The current development and implementation of programming and control systems for intelligent robots, at McMaster University, are explained. A number of research issues are discussed such as (1) automatic task planning, (2) knowledge representation and use, (3) world modeling, (4) reasoning in automatic assembly planning, and (5) vision monitoring of actions. Examples of geometric, functional, and handling reasoning, as they apply to assembly, are provided. The systems described in this paper are being implemented in the center for flexible manufacturing research and development. Several pieces of hardware are used, including a six-axis articulated robot, a grey-level vision system with a multi-camera, Micro VAX II, and a variety of graphics monitors. The languages available for software development include Common LISP, C, OPS5, VAL II, PASCAL, and FORTRAN 77. The domain of application is currently focused on mechanical assembly. © Springer-Verlag New York Inc 1987 |
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