Abstract

Computing optimal paths for mobile robots is an interesting and important problem. This paper presents a method to compute the shortest path for a differential-drive mobile robot, which is a disc, among piecewise smooth and convex obstacles. To obtain a well-defined notion of shortest, the total amount of wheel rotation is optimized. We use recent characterization of minimum wheel-rotation paths for differential-drive mobile robots with no obstacles. We reduce the search for the shortest path to the search on a finite nonholonomic visibility graph. Edges of the graph are either minimum wheel-rotation trajectories inside the free space or trajectories on the boundary of obstacle region. Vertices of the graph are initial and goal configurations and points on the boundary of obstacle region. We call the search graph a nonholonomic visibility graph because the jump condition of the Pontryagin maximum principle gives a necessary condition which is reminiscent of bitangency in well-known visibility graphs. To the best of our knowledge, this is the first progress on the problem

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