DocumentCode :
2490447
Title :
An improved potential field method for mobile robot path planning in dynamic environments
Author :
Yin, Lu ; Yin, Yixin
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
4847
Lastpage :
4852
Abstract :
An improved potential field method for automatic mobile robot path planning is proposed in this paper. At present, most potential field methods are designed to be applied in the stationary environment, and several improved potential functions have brought in the velocity factors in dynamic situation. Based on the consideration that the moving trend of the robot in dynamic environment is also necessary to produce more reasonable planning path, this paper defines new attractive potential function with respect to the relative position, velocity, and acceleration between the robot and the goal, as well as the repulsive potential function with respect to the relative position, velocity, and acceleration between the robot and the obstacles. The virtual force is calculated to make the robot plan its motion not only with right positions, but also with suitable velocities, furthermore, the robot will keep a similar moving trend with the goal and a contrary trend with the obstacles. At last, some methodic simulations are carried out to verify and demonstrate the effectiveness of the new potential field method.
Keywords :
mobile robots; path planning; robot dynamics; attractive potential function; mobile robot path planning; potential field method; virtual force; Acceleration; Euclidean distance; Extraterrestrial measurements; Intelligent control; Mobile robots; Orbital robotics; Path planning; Robotics and automation; Space exploration; Space stations; dynamic path planning; mobile robot; potential field; potential function; virtual force;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593709
Filename :
4593709
Link To Document :
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