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- Publisher Website: 10.1109/ICRA.2016.7487147
- Scopus: eid_2-s2.0-84977513856
- WOS: WOS:000389516200038
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Conference Paper: Proxemic group behaviors using reciprocal multi-agent navigation
Title | Proxemic group behaviors using reciprocal multi-agent navigation |
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Authors | |
Issue Date | 2016 |
Citation | 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 16-21 May 2016, In Conference Proceedings, 2016, p. 292-297 How to Cite? |
Abstract | We present a decentralized algorithm for group-based coherent and reciprocal multi-agent navigation. In addition to generating collision-free trajectories for each agent, our approach is able to simulate macroscopic group movements and proxemic behaviors that result in coherent navigation. Our approach is general, makes no assumptions about the size or shape of the group, and can generate smooth trajectories for the agents. Furthermore, it can dynamically adapt to obstacles or the behavior of other agents. The additional overhead of generating proxemic group behaviors is relatively small and our approach can simulate hundreds of agents in real-time. We highlight its benefits on different benchmarks. |
Persistent Identifier | http://hdl.handle.net/10722/308911 |
ISSN | 2023 SCImago Journal Rankings: 1.620 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | He, Liang | - |
dc.contributor.author | Pan, Jia | - |
dc.contributor.author | Wang, Wenping | - |
dc.contributor.author | Manocha, Dinesh | - |
dc.date.accessioned | 2021-12-08T07:50:23Z | - |
dc.date.available | 2021-12-08T07:50:23Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 16-21 May 2016, In Conference Proceedings, 2016, p. 292-297 | - |
dc.identifier.issn | 1050-4729 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308911 | - |
dc.description.abstract | We present a decentralized algorithm for group-based coherent and reciprocal multi-agent navigation. In addition to generating collision-free trajectories for each agent, our approach is able to simulate macroscopic group movements and proxemic behaviors that result in coherent navigation. Our approach is general, makes no assumptions about the size or shape of the group, and can generate smooth trajectories for the agents. Furthermore, it can dynamically adapt to obstacles or the behavior of other agents. The additional overhead of generating proxemic group behaviors is relatively small and our approach can simulate hundreds of agents in real-time. We highlight its benefits on different benchmarks. | - |
dc.language | eng | - |
dc.relation.ispartof | 2016 IEEE International Conference on Robotics and Automation (ICRA) | - |
dc.title | Proxemic group behaviors using reciprocal multi-agent navigation | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICRA.2016.7487147 | - |
dc.identifier.scopus | eid_2-s2.0-84977513856 | - |
dc.identifier.spage | 292 | - |
dc.identifier.epage | 297 | - |
dc.identifier.isi | WOS:000389516200038 | - |