Toward mobile robots reasoning like humans
Robots are increasingly becoming key players in human-robot teams. To become effective teammates, robots must possess profound understanding of an environment, be able to reason about the desired commands and goals within a specific context, and be able to communicate with human teammates in a clear...
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sg-smu-ink.sis_research-92552023-11-10T09:04:03Z Toward mobile robots reasoning like humans OH, Jean SUPPE, Arne DUVALLET, Felix BOULARIAS, Abdeslam NAVARRO-SERMENT, Luis HEBERT, Martial STENTZ, Anthony VINOKUROV, Jerry ROMERO, Oscar LEBIERE, Christian DEAN, Robert Robots are increasingly becoming key players in human-robot teams. To become effective teammates, robots must possess profound understanding of an environment, be able to reason about the desired commands and goals within a specific context, and be able to communicate with human teammates in a clear and natural way. To address these challenges, we have developed an intelligence architecture that combines cognitive components to carry out high-level cognitive tasks, semantic perception to label regions in the world, and a natural language component to reason about the command and its relationship to the objects in the world. This paper describes recent developments using this architecture on a fielded mobile robot platform operating in unknown urban environments. We report a summary of extensive outdoor experiments; the results suggest that a multidisciplinary approach to robotics has the potential to create competent human-robot teams. 2015-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8252 info:doi/10.5555/2887007.2887197 https://ink.library.smu.edu.sg/context/sis_research/article/9255/viewcontent/9383_Article_Text_12911_1_2_20201228__3_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Databases and Information Systems |
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Artificial Intelligence and Robotics Databases and Information Systems OH, Jean SUPPE, Arne DUVALLET, Felix BOULARIAS, Abdeslam NAVARRO-SERMENT, Luis HEBERT, Martial STENTZ, Anthony VINOKUROV, Jerry ROMERO, Oscar LEBIERE, Christian DEAN, Robert Toward mobile robots reasoning like humans |
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Robots are increasingly becoming key players in human-robot teams. To become effective teammates, robots must possess profound understanding of an environment, be able to reason about the desired commands and goals within a specific context, and be able to communicate with human teammates in a clear and natural way. To address these challenges, we have developed an intelligence architecture that combines cognitive components to carry out high-level cognitive tasks, semantic perception to label regions in the world, and a natural language component to reason about the command and its relationship to the objects in the world. This paper describes recent developments using this architecture on a fielded mobile robot platform operating in unknown urban environments. We report a summary of extensive outdoor experiments; the results suggest that a multidisciplinary approach to robotics has the potential to create competent human-robot teams. |
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OH, Jean SUPPE, Arne DUVALLET, Felix BOULARIAS, Abdeslam NAVARRO-SERMENT, Luis HEBERT, Martial STENTZ, Anthony VINOKUROV, Jerry ROMERO, Oscar LEBIERE, Christian DEAN, Robert |
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OH, Jean SUPPE, Arne DUVALLET, Felix BOULARIAS, Abdeslam NAVARRO-SERMENT, Luis HEBERT, Martial STENTZ, Anthony VINOKUROV, Jerry ROMERO, Oscar LEBIERE, Christian DEAN, Robert |
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OH, Jean |
title |
Toward mobile robots reasoning like humans |
title_short |
Toward mobile robots reasoning like humans |
title_full |
Toward mobile robots reasoning like humans |
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Toward mobile robots reasoning like humans |
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Toward mobile robots reasoning like humans |
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toward mobile robots reasoning like humans |
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Institutional Knowledge at Singapore Management University |
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2015 |
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https://ink.library.smu.edu.sg/sis_research/8252 https://ink.library.smu.edu.sg/context/sis_research/article/9255/viewcontent/9383_Article_Text_12911_1_2_20201228__3_.pdf |
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