Online Planning Approaches for Multi-Robot Rendezvous
| dc.contributor.author | Deniz Özsoyeller | |
| dc.contributor.author | Ozsoyeller, Deniz | |
| dc.date.accessioned | 2025-10-06T17:49:10Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | In this paper we study the rendezvous of a group of robots in a bounded environment. The robots do not know the locations of each other. Moreover no robot knows the distance between any pair of robots. A rendezvous location is not determined in advance. For this problem we present two algorithms with different online planning approaches: (1) cluster-search and (2) single-search. In the first approach the robots that meet continue searching as a team. Whereas in the second approach the robots that meet split and continue as single searchers. We investigate and compare the performances of our algorithms through simulations. The results show that the algorithm with the single-search approach performs better than the algorithm with the cluster-search approach. © 2024 Elsevier B.V. All rights reserved. | |
| dc.description.sponsorship | IEEE, IEEE Robotics and Automation Society (RA), Science and Engineering Institute (SCIEI) | |
| dc.identifier.doi | 10.1109/ICARA60736.2024.10553000 | |
| dc.identifier.isbn | 9798350394245 | |
| dc.identifier.scopus | 2-s2.0-85197363865 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197363865&doi=10.1109%2FICARA60736.2024.10553000&partnerID=40&md5=734da195c545f2a40a74a22aed0c5ada | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/8291 | |
| dc.identifier.uri | https://doi.org/10.1109/ICARA60736.2024.10553000 | |
| dc.language.iso | English | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 10th International Conference on Automation Robotics and Applications ICARA 2024 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Distributed Robot Systems, Motion And Path Planning, Multi-robot Systems, Clustering Algorithms, Industrial Robots, Motion Planning, Online Systems, Robot Learning, Robot Programming, Distributed Robot Systems, Motion And Path Planning, Multi-robot Systems, Multirobots, On-line Planning, Performance, Single Search, Multipurpose Robots | |
| dc.subject | Clustering algorithms, Industrial robots, Motion planning, Online systems, Robot learning, Robot programming, Distributed robot systems, Motion and path planning, Multi-robot systems, Multirobots, On-line planning, Performance, Single search, Multipurpose robots | |
| dc.subject | Multi-Robot Systems | |
| dc.subject | Distributed Robot Systems | |
| dc.subject | Motion and Path Planning | |
| dc.title | Online Planning Approaches for Multi-Robot Rendezvous | |
| dc.type | Conference Object | |
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| gdc.author.institutional | Ozsoyeller, Deniz (24476826900) | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | [Ozsoyeller D.] Yaşar University, Department of Software Engineering, Izmir, Turkey | |
| gdc.description.endpage | 154 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 150 | |
| gdc.identifier.openalex | W4399769792 | |
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| gdc.virtual.author | Özsoyeller, Deniz | |
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| person.identifier.scopus-author-id | Özsoyeller- Deniz (24476826900) | |
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