DocumentCode :
2381954
Title :
A discrete harmonic potential approach to motion planning on a weighted graph
Author :
Masoud, Ahmad A.
Author_Institution :
Dept. of Electr. Eng., KFUPM, Dhahran
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
807
Lastpage :
812
Abstract :
A provably-correct discrete version of the harmonic potential field (HPF) approach to motion planning was suggested by Masoud, A [2006]. The approach utilizes the strong relation between graph theory and electrical network theory for developing a framework of theories and definitions that, among other things, can strongly aid in developing a discrete HPF planning approach. This framework was used to suggest an efficient, optimal, novel, discrete planning method called the M* algorithm. In this paper an in-place, successive relaxation procedure is suggested for implementing the M* algorithm. Also, the utility of the discrete HPF approach is demonstrated in robust, data network routing.
Keywords :
graph theory; path planning; robots; data network routing; discrete harmonic potential approach; discrete planning method; electrical network theory; graph theory; motion planning; weighted graph; Boundary conditions; Graph theory; Motion control; Navigation; Path planning; Robot sensing systems; Robustness; Routing; Sampling methods; Signal generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586592
Filename :
4586592
Link To Document :
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