Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams
In this manuscript, we propose an approach that allows a team of robots to create new (emergent) behaviors at execution time. Basically, we improve the approach called N-Learning used for self-programming of robots in a team, by modifying and extending its functioning structure. The basic capability...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8890632/ |
| _version_ | 1818621632457998336 |
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| author | Luis Feliphe S. Costa Tiago P. Do Nascimento Luiz Marcos G. Goncalves |
| author_facet | Luis Feliphe S. Costa Tiago P. Do Nascimento Luiz Marcos G. Goncalves |
| author_sort | Luis Feliphe S. Costa |
| collection | DOAJ |
| description | In this manuscript, we propose an approach that allows a team of robots to create new (emergent) behaviors at execution time. Basically, we improve the approach called N-Learning used for self-programming of robots in a team, by modifying and extending its functioning structure. The basic capability of behavior sharing is increased by the catching of emergent behaviors at run time. With this, all robots are able not only to share existing knowledge, here represented by blocks of codes containing desired behaviors but also to creating new behaviors as well. Experiments with real robots are presented in order to validate our approach. The experiments demonstrate that after the human-robot interaction with one robot using Program by Demonstration, this robot generates a new behavior at run time and teaches a second robot that performs the same learned behavior through this improved version of the N-learning system. |
| first_indexed | 2024-12-16T18:12:22Z |
| format | Article |
| id | doaj.art-27b54a0e8fd64cddb2d144d52a6cfcb2 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T18:12:22Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-27b54a0e8fd64cddb2d144d52a6cfcb22022-12-21T22:21:44ZengIEEEIEEE Access2169-35362019-01-01715898915900110.1109/ACCESS.2019.29510138890632Online Learning and Teaching of Emergent Behaviors in Multi-Robot TeamsLuis Feliphe S. Costa0Tiago P. Do Nascimento1https://orcid.org/0000-0002-9319-2114Luiz Marcos G. Goncalves2https://orcid.org/0000-0002-7735-5630Department of Computer and Automation, Universidade Federal do Rio Grande do Norte (UFRN), Natal, BrazilDepartment of Computer Systems, Systems Engineering and Robotics Lab (LaSER), Universidade Federal da Paraíba (UFPB), João Pessoa, BrazilDepartment of Computer and Automation, Universidade Federal do Rio Grande do Norte (UFRN), Natal, BrazilIn this manuscript, we propose an approach that allows a team of robots to create new (emergent) behaviors at execution time. Basically, we improve the approach called N-Learning used for self-programming of robots in a team, by modifying and extending its functioning structure. The basic capability of behavior sharing is increased by the catching of emergent behaviors at run time. With this, all robots are able not only to share existing knowledge, here represented by blocks of codes containing desired behaviors but also to creating new behaviors as well. Experiments with real robots are presented in order to validate our approach. The experiments demonstrate that after the human-robot interaction with one robot using Program by Demonstration, this robot generates a new behavior at run time and teaches a second robot that performs the same learned behavior through this improved version of the N-learning system.https://ieeexplore.ieee.org/document/8890632/Multirobot leaningbehavior-based roboticsknowledge transferenceemergent behavior |
| spellingShingle | Luis Feliphe S. Costa Tiago P. Do Nascimento Luiz Marcos G. Goncalves Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams IEEE Access Multirobot leaning behavior-based robotics knowledge transference emergent behavior |
| title | Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams |
| title_full | Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams |
| title_fullStr | Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams |
| title_full_unstemmed | Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams |
| title_short | Online Learning and Teaching of Emergent Behaviors in Multi-Robot Teams |
| title_sort | online learning and teaching of emergent behaviors in multi robot teams |
| topic | Multirobot leaning behavior-based robotics knowledge transference emergent behavior |
| url | https://ieeexplore.ieee.org/document/8890632/ |
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