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Robot Motion Planning on a Chip

Sean Murray, Will Floyd-Jones, Qi Ying, Daniel J. Sorin, George Konidaris

Year
2016
Citations
87
Access
Open access

Abstract

We describe a process that constructs robot-specific circuitry for motion planning, capable of generating motion plans approximately three orders of magnitude faster than existing methods. Our method is based on building collision detection circuits for a probabilistic roadmap. Collision detection for the roadmap edges is completely parallelized, so that the time to determine which edges are in collision is independent of the number of edges. We demonstrate planning using a 6-degreeof-freedom robot arm in less than 1 millisecond.

Keywords

Computer scienceMotion planningRobotMotion (physics)ChipArtificial intelligenceComputer visionTelecommunications

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