DocumentCode :
2429724
Title :
Random force based algorithm for local minima escape of potential field method
Author :
Lee, Jinseok ; Nam, Yunyoung ; Hong, Sangjin
Author_Institution :
Dept. of Electr. & Comput. Eng., Stony Brook Univ. - SUNY, Stony Brook, NY, USA
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
827
Lastpage :
832
Abstract :
We address a new inherent limitation of potential field methods, which is symmetrically aligned robot-obstacle-goal (SAROG). The SAROG involves one critical risk of local minima trap. For dealing with the problem, we investigate the way how the local minima trap is recognized, and present our random force algorithm. The force algorithm has two categories of random unit total force (RUTF) and random unit total force with repulsion removal (RUTF-RR) which are selected based on the conditions of a robot, an obstacle and a goal.
Keywords :
collision avoidance; mobile robots; autonomous robot navigation; local minima escape; local minima trap; potential field method; random force based algorithm; random unit total force with repulsion removal; symmetrically aligned robot-obstacle-goal; Collision avoidance; Force; Mobile robots; Oscillators; Robot kinematics; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
Type :
conf
DOI :
10.1109/ICARCV.2010.5707422
Filename :
5707422
Link To Document :
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