Prioritized planning algorithm for multi-robot collision avoidance based on artificial untraversable vertex
作者:Haodong Li, Tao Zhao, Songyi Dian
摘要
This paper presents a method to avoid collisions and deadlocks between mobile robots working collaboratively in a shared physical environment. Based on the shared knowledge of the robot’s direction and coordinates, we define five conflict types between robots and propose a new concept named Artificial Untraversable Vertex (AUV) to resolve the potential conflicts. Since conflict avoidance between robots is typically a real-time process, a heuristic search algorithm D* Lite with fast replanning characteristics is introduced. Once a robot finds that it may collide with another robot while moving along the preplanned path, a new conflict-free path can be calculated based on the AUV and D* Lite. The experimental results demonstrate that the proposed Multi-Robot Path Planning (MRPP) method can effectively avoid collisions and deadlocks between mobile robots.
论文关键词:Multi-robot path planning, Conflict type, Collision avoidance, D* lite, Artificial untraversable vertex
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论文官网地址:https://doi.org/10.1007/s10489-021-02397-0