DocumentCode
3243116
Title
A path planning algorithm using artificial potential field based on probability map
Author
Kim, Min-Ho ; Heo, Jung-Hun ; Wei, Yuanlong ; Lee, Min-Cheol
Author_Institution
Grad. Sch. of Mech. & Intell. Syst. Eng., Pusan Nat. Univ., Busan, South Korea
fYear
2011
fDate
23-26 Nov. 2011
Firstpage
41
Lastpage
43
Abstract
Path planning problem is the major issue of the control of mobile robot. Among the path planning methods the artificial potential field theory is widely used for mobile robots, because it provides simple and effective motion control input. But sometimes it is hard to detect exact obstacle shape, because some obstacle can move itself, thus we can detect its probability only. So we suggest the path planning method using potential field with the probability information. After that we simulate our algorithm and show the results.
Keywords
collision avoidance; mobile robots; motion control; probability; artificial potential field theory; exact obstacle shape dtection; mobile robot; motion control input; path planning algorithm; probability map; Force; Mobile robots; Path planning; Probability density function; Real time systems; Vectors; Artificial Potential Field; Mobile Robot; Path Planning; Probability Map;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location
Incheon
Print_ISBN
978-1-4577-0722-3
Type
conf
DOI
10.1109/URAI.2011.6145929
Filename
6145929
Link To Document