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Robotic Task Sequencing and Motion Coordination for Multiarm Systems
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AI
DOI：10.1109/TMECH.2022.3178019.png)
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Abstract
En 中文
Until now, the robotic task sequencing problem (RTSP) has largely been considered from the viewpoint of a single robotic arm. However, several benefits can be derived from the extension of the problem to multiarm systems. This article presents a modular approach toward solving multiarm RTSPs, validated through simulated and physical trials involving a dual-arm setup. The proposed approach extends the Cluster-RTSP algorithm to efficiently address task allocation, configuration selection, and task sequencing subproblems. Three methods for solving the subsequent motion coordination subproblem are investigated to explore the strengths and drawbacks of each strategy for resolving motion conflict between multiple robots. The method is evaluated against a state-of-the-art baseline, where it is shown that the proposed planning pipeline excels in finding high-quality solutions within competitive planning times for RTSPs involving redundant robots and tasks comprising several hundred to thousands of points.
Keywords:
Autonomous inspection
motion coordination
multirobot system
robotic task sequencing
task allocation
Journal
I
IF:
7.3
Papers:
5.4K
Citations:
2.4W
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