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Graphbots: cooperative motion planning in discrete spaces

Samir Khuller, Ehud Rivlin, Azriel Rosenfeld

发表年份
1998
引用次数
5

摘要

Most previous theoretical work on motion planning for a group of robots has addressed the problem of path planning for the individual robots sequentially, in geometrically simple regions of Euclidean space (e.g. a planar region containing polygonal obstacles). In this paper, we define a version of the motion-planning problem in which the robots move simultaneously. We establish conditions under which a team of robots having a particular configuration can move from any start location to any goal destination in a graph-structured space. We show that, for a group of robots that maintain a fixed formation, we can find the "shortest" path in polynomial time, and we give faster algorithms for special kinds of environments.

关键词

Motion planningRobotConfiguration spaceEuclidean spaceComputer scienceShortest path problemEuclidean geometryPath (computing)Simple (philosophy)Graph

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