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
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;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
Conference_Location :
Incheon
Print_ISBN :
978-1-4577-0722-3
DOI :
10.1109/URAI.2011.6145929