Motion planning with diffusion maps

IROS, pp. 1423-1430, 2016.

Cited by: 14|Bibtex|Views27
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Many robotic applications require repeated, on-demand motion planning in mapped environments. In addition, the presence of other dynamic agents, such as people, often induces frequent, dynamic changes in the environment. Having a potential function that encodes pairwise cost-to-go can be useful for improving the computational speed of fin...More

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