A scalable method for parallelizing sampling-based motion planning algorithms

This paper describes a scalable method for parallelizing sampling-based motion planning algorithms. It subdivides configuration space (C-space) into (possibly overlapping) regions and independently, in parallel, uses standard (sequential) sampling-based planners to construct roadmaps in each region....

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Bibliographic Details
Published in:	2012 IEEE International Conference on Robotics and Automation pp. 2529 - 2536
Main Authors:	Jacobs, S. A., Manavi, K., Burgos, J., Denny, J., Thomas, S., Amato, N. M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2012
Subjects:	Joining processes Libraries Planning Probabilistic logic Robots Scalability
ISBN:	9781467314039, 146731403X
ISSN:	1050-4729
Online Access:	Get full text
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