DocumentCode :
694561
Title :
Robot motion planning based on improved artificial potential field
Author :
Chen Tingbin ; Zhang Qisong
Author_Institution :
Inf. Technol. & Bus. Manage., Dalian Neusoft Univ. of Inf., Dalian, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
1208
Lastpage :
1211
Abstract :
The path planning is one of the key technologies of mobile robot field, which is also the one of the key technologies of intelligent robotics. As the mobile robot path planning is one of the most important and basic problem, path planning of robot has solved the robot movement question in the environment. This paper studies the method of robot path planning-artificial potential field method, which is the most mature, the most stable. In the traditional research of the robot path planning, the target is stationary, but in this paper research object is the mobile robot. So the traditional artificial potential field method is not adapted to this paper. This paper puts forward an improved artificial potential field method based on the traditional artificial potential field method, which can make the robots avoid obstacles while locate and track dynamic target. Finally, the simulation experiment shows the effectiveness of the improved artificial potential field method.
Keywords :
collision avoidance; intelligent robots; mobile robots; motion control; artificial potential field; intelligent robotics; mobile robot; obstacle avoidance; robot motion planning; robot path planning; Gravity; Mobile robots; Path planning; Robot kinematics; Robot sensing systems; Artificial Potential Field; Mobile Robot; Robot Path Planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967319
Filename :
6967319
Link To Document :
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