DocumentCode :
2005525
Title :
An improved Artificial Potential Field approach to real-time mobile robot path planning in an unknown environment
Author :
Sfeir, Joe ; Saad, Maarouf ; Saliah-Hassane, Hamadou
Author_Institution :
Dept. of Electr. Eng., Univ. du Quebec, Montreal, QC, Canada
fYear :
2011
fDate :
17-18 Sept. 2011
Firstpage :
208
Lastpage :
213
Abstract :
This paper deals with the navigation of a mobile robot in an unknown environment. The approach developed is based on the Artificial Potential Field (APF) method in which the target creates a virtual potential that attracts the robot while obstacles create a virtual potential that repels the robot. A new form of repelling potential is proposed in order to reduce oscillations and to avoid conflicts when the target is close to obstacles. A rotational force is integrated as well, allowing for a smoother trajectory around the obstacles. Experiment results show the effectiveness of the proposed approach.
Keywords :
collision avoidance; mobile robots; artificial potential field approach; mobile robot navigation; path planning; repelling potential; rotational force; virtual potential; Force; Mobile robots; Oscillators; Robot kinematics; Robot sensing systems; Trajectory; Artificial Potential Fields; FIRAS; mobile robot; navigation; obstacle avoidance; rotational force; unknown environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotic and Sensors Environments (ROSE), 2011 IEEE International Symposium on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-0819-0
Type :
conf
DOI :
10.1109/ROSE.2011.6058518
Filename :
6058518
Link To Document :
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