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A Programmable Architecture for Robot Motion Planning Acceleration

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

Year
2019
Citations
25

Abstract

We have designed a programmable architecture to accelerate collision detection and graph search, two of the principal components of robotic motion planning. The programmability enables the architecture to be applied to a wide range of different robots and motion planning applications. We present the architecture of our accelerator and describe and evaluate its microarchitecture implementation.

Keywords

Computer scienceArchitectureMotion planningMicroarchitectureAccelerationRobotComputer architectureCollisionEmbedded systemArtificial intelligence

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