Robot social-aware navigation framework to accompany people walking side-by-side
Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ferrer, Gonzalo [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Autonomous robots - Springer US, 1994, 41(2016), 4 vom: 02. Juli, Seite 775-793 |
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| Übergeordnetes Werk: |
volume:41 ; year:2016 ; number:4 ; day:02 ; month:07 ; pages:775-793 |
| Links: |
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| DOI / URN: |
10.1007/s10514-016-9584-y |
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| 520 | |a Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. | ||
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10.1007/s10514-016-9584-y doi (DE-627)OLC2052751017 (DE-He213)s10514-016-9584-y-p DE-627 ger DE-627 rakwb eng 620 VZ Ferrer, Gonzalo verfasserin aut Robot social-aware navigation framework to accompany people walking side-by-side 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. Robot companion Service robots Urban robot navigation Human–robot interaction Zulueta, Anaís Garrell aut Cotarelo, Fernando Herrero aut Sanfeliu, Alberto aut Enthalten in Autonomous robots Springer US, 1994 41(2016), 4 vom: 02. Juli, Seite 775-793 (DE-627)186689446 (DE-600)1252189-9 (DE-576)053002199 0929-5593 nnns volume:41 year:2016 number:4 day:02 month:07 pages:775-793 https://doi.org/10.1007/s10514-016-9584-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 41 2016 4 02 07 775-793 |
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10.1007/s10514-016-9584-y doi (DE-627)OLC2052751017 (DE-He213)s10514-016-9584-y-p DE-627 ger DE-627 rakwb eng 620 VZ Ferrer, Gonzalo verfasserin aut Robot social-aware navigation framework to accompany people walking side-by-side 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. Robot companion Service robots Urban robot navigation Human–robot interaction Zulueta, Anaís Garrell aut Cotarelo, Fernando Herrero aut Sanfeliu, Alberto aut Enthalten in Autonomous robots Springer US, 1994 41(2016), 4 vom: 02. Juli, Seite 775-793 (DE-627)186689446 (DE-600)1252189-9 (DE-576)053002199 0929-5593 nnns volume:41 year:2016 number:4 day:02 month:07 pages:775-793 https://doi.org/10.1007/s10514-016-9584-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 41 2016 4 02 07 775-793 |
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10.1007/s10514-016-9584-y doi (DE-627)OLC2052751017 (DE-He213)s10514-016-9584-y-p DE-627 ger DE-627 rakwb eng 620 VZ Ferrer, Gonzalo verfasserin aut Robot social-aware navigation framework to accompany people walking side-by-side 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. Robot companion Service robots Urban robot navigation Human–robot interaction Zulueta, Anaís Garrell aut Cotarelo, Fernando Herrero aut Sanfeliu, Alberto aut Enthalten in Autonomous robots Springer US, 1994 41(2016), 4 vom: 02. Juli, Seite 775-793 (DE-627)186689446 (DE-600)1252189-9 (DE-576)053002199 0929-5593 nnns volume:41 year:2016 number:4 day:02 month:07 pages:775-793 https://doi.org/10.1007/s10514-016-9584-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 41 2016 4 02 07 775-793 |
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10.1007/s10514-016-9584-y doi (DE-627)OLC2052751017 (DE-He213)s10514-016-9584-y-p DE-627 ger DE-627 rakwb eng 620 VZ Ferrer, Gonzalo verfasserin aut Robot social-aware navigation framework to accompany people walking side-by-side 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. Robot companion Service robots Urban robot navigation Human–robot interaction Zulueta, Anaís Garrell aut Cotarelo, Fernando Herrero aut Sanfeliu, Alberto aut Enthalten in Autonomous robots Springer US, 1994 41(2016), 4 vom: 02. Juli, Seite 775-793 (DE-627)186689446 (DE-600)1252189-9 (DE-576)053002199 0929-5593 nnns volume:41 year:2016 number:4 day:02 month:07 pages:775-793 https://doi.org/10.1007/s10514-016-9584-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 41 2016 4 02 07 775-793 |
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10.1007/s10514-016-9584-y doi (DE-627)OLC2052751017 (DE-He213)s10514-016-9584-y-p DE-627 ger DE-627 rakwb eng 620 VZ Ferrer, Gonzalo verfasserin aut Robot social-aware navigation framework to accompany people walking side-by-side 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. Robot companion Service robots Urban robot navigation Human–robot interaction Zulueta, Anaís Garrell aut Cotarelo, Fernando Herrero aut Sanfeliu, Alberto aut Enthalten in Autonomous robots Springer US, 1994 41(2016), 4 vom: 02. Juli, Seite 775-793 (DE-627)186689446 (DE-600)1252189-9 (DE-576)053002199 0929-5593 nnns volume:41 year:2016 number:4 day:02 month:07 pages:775-793 https://doi.org/10.1007/s10514-016-9584-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 AR 41 2016 4 02 07 775-793 |
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Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. © Springer Science+Business Media New York 2016 |
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Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. © Springer Science+Business Media New York 2016 |
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Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. In addition, a volunteers’ survey is used to measure the acceptability of our robot companion’s behavior. © Springer Science+Business Media New York 2016 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2052751017</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502215346.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10514-016-9584-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2052751017</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10514-016-9584-y-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ferrer, Gonzalo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Robot social-aware navigation framework to accompany people walking side-by-side</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</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">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract We present a novel robot social-aware navigation framework to walk side-by-side with people in crowded urban areas in a safety and natural way. The new system includes the following key issues: to propose a new robot social-aware navigation model to accompany a person; to extend the Social Force Model, “Extended Social-Force Model”, to consider the person and robot’s interactions; to use a human predictor to estimate the destination of the person the robot is walking with; and to interactively learning the parameters of the social-aware navigation model using multimodal human feedback. Finally, a quantitative metric based on people’s personal spaces and comfortableness criteria, is introduced in order to evaluate quantitatively the performance of the robot’s task. The validation of the model is accomplished throughout an extensive set of simulations and real-life experiments. 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