Online Planning Approaches for Multi-Robot Rendezvous
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Date
2024
Authors
Deniz Özsoyeller
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
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Publicly Funded
No
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.
Description
Keywords
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, 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, Multi-Robot Systems, Distributed Robot Systems, Motion and Path Planning
Fields of Science
Citation
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OpenCitations Citation Count
1
Source
10th International Conference on Automation Robotics and Applications ICARA 2024
Volume
Issue
Start Page
150
End Page
154
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CrossRef : 1
Scopus : 3
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