DocumentCode
620194
Title
A novel potential field method for path planning of mobile robot
Author
Huajian Zhu ; Junzheng Wang ; Jing Li
Author_Institution
Key Lab. of Complex Syst. Intell. Control & Decision, Beijing Inst. of Technol., Beijing, China
fYear
2013
fDate
25-27 May 2013
Firstpage
2811
Lastpage
2814
Abstract
This paper presents a novel artificial potential field method for path planning of mobile robot. On the basis of analyzing traditional artificial potential field method local minimum problems, which cause failure of path planning, a potential field energy minimum path is created directly by placing dummy goals. Assuming that the path consists of many small pieces, every small piece is called a path factor. Coordinate of each path factor can be obtained by solving a set of equations. Each point on the path will be the potential energy minimum. Robots head to the goal along the position of each path factor. This new method solves the local minimum problem, as well as the destination unreachable problem and the oscillatory movement problem. The simulation results show that the new method proposed is correct and effective.
Keywords
mobile robots; path planning; destination unreachable problem; dummy goals; mobile robot; novel artificial potential field method; oscillatory movement problem; path factor; path planning; Electronic mail; Intelligent control; Laboratories; MATLAB; Mobile robots; Path planning; Mobile Robot; Path Factor; Path Planning; Potential Field;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561423
Filename
6561423
Link To Document