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Computer Science > Robotics

arXiv:2108.11597 (cs)
[Submitted on 26 Aug 2021 (v1), last revised 27 Aug 2021 (this version, v2)]

Title:Multi-Robot Task Planning under Individual and Collaborative Temporal Logic Specifications

Authors:Ruofei Bai, Ronghao Zheng, Meiqin Liu, Senlin Zhang
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Abstract:This paper investigates the task coordination of multi-robot where each robot has a private individual temporal logic task specification; and also has to jointly satisfy a globally given collaborative temporal logic task specification. To efficiently generate feasible and optimized task execution plans for the robots, we propose a hierarchical multi-robot temporal task planning framework, in which a central server allocates the collaborative tasks to the robots, and then individual robots can independently synthesize their task execution plans in a decentralized manner. Furthermore, we propose an execution plan adjusting mechanism that allows the robots to iteratively modify their execution plans via privacy-preserved inter-agent communication, to improve the expected actual execution performance by reducing waiting time in collaborations for the robots. The correctness and efficiency of the proposed method are analyzed and also verified by extensive simulation experiments.
Comments: 8 pages, 4 figures, to be presented at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
Subjects: Robotics (cs.RO)
Cite as: arXiv:2108.11597 [cs.RO]
  (or arXiv:2108.11597v2 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2108.11597

Submission history

From: Ruofei Bai [view email]
[v1] Thu, 26 Aug 2021 06:26:54 UTC (1,291 KB)
[v2] Fri, 27 Aug 2021 08:00:15 UTC (1,292 KB)
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