Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms

Motion planning, which is the problem of computing feasible paths in an environment for a movable object, has applications in many domains ranging from robotics, to intelligent CAD, to protein folding. The best methods for solving this PSPACE-hard problem are so-called sampling-based planners. Recen...

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Bibliographic Details

Published in:	Proceedings - IEEE International Parallel and Distributed Processing Symposium pp. 573 - 582
Main Authors:	Fidel, Adam, Jacobs, Sam Ade, Sharma, Shishir, Amato, Nancy M., Rauchwerger, Lawrence
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2014
Subjects:	Joining processes Load management Measurement Planning Probabilistic logic Program processors Proteins
ISBN:	1479937991, 9781479937998
ISSN:	1530-2075
Online Access:	Get full text
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