DocumentCode :
1841903
Title :
A new technique to handle local minimum for imperfect potential field based motion planning
Author :
Chang, Hsuan
Author_Institution :
Gen. Electr. Corp. Res. & Dev. Center, Schenectady, NY, USA
Volume :
1
fYear :
1996
fDate :
22-28 Apr 1996
Firstpage :
108
Abstract :
Random walk like techniques have been used to help potential field based motion planning techniques to escape from local minimum configurations. However, the associated cost can be large for some applications which require smoothing to take out the incoherent motion steps that are discovered through the random walks. In this paper the authors present a new technique to reduce or eliminate the need for random walks while improving performance. The authors discuss characteristics in application which can be a potential candidate to benefit from this new technique
Keywords :
path planning; random processes; search problems; local minimum configurations; potential field based motion planning techniques; random walk like techniques; smoothing; Costs; Heuristic algorithms; Navigation; Research and development; Skeleton; Smoothing methods; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1050-4729
Print_ISBN :
0-7803-2988-0
Type :
conf
DOI :
10.1109/ROBOT.1996.503581
Filename :
503581
Link To Document :
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