Abstract
This paper addresses decentralized motion planning among a homogeneous set of feedback-controlled mobile robots. It introduces the velocity obstacle, which describes the collision between robot and obstacle, and the hybrid interactive velocity obstacles are designed for collision checking between interacting robots. The (sub)goal selection algorithm is also studied for formation control, then the preferred velocity is designed for robot tracking its desired (sub)goal. Furthermore, the rules for the size regulation of obstacle are presented to avoid conservative motion planning and enhance the safety. Then, we establish a novel Velocity Change Space (VCS), map the velocity obstacles, the desired (sub)goal and the reachable velocity change window before collision in this space, and directly get the new velocity by a multi-objective optimization method. We apply VCS-based motion planning methods to distributed robots, and simulation is used to illustrate the good performances with respect to the un-conservative, foresighted and multi-objective optimal motion planning, especially the successful application in the formation control of the multi-robot system.
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This work is supported by the National Natural Science Foundation of China under Grant 61305117.
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Communicated by V. Loia.
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Zhong, X., Zhong, X. & Peng, X. VCS-based motion planning for distributed mobile robots: collision avoidance and formation. Soft Comput 20, 1897–1908 (2016). https://doi.org/10.1007/s00500-015-1611-y
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DOI: https://doi.org/10.1007/s00500-015-1611-y