DocumentCode :
131439
Title :
An Improved BCM Obstacle Avoidance Algorithm for Outdoor Patrol Robot
Author :
Luo Qijun ; Zhang Xiuyan
Author_Institution :
Robot. Inst., Civil Aviation Univ. of China, Tianjin, China
fYear :
2014
fDate :
10-11 Jan. 2014
Firstpage :
87
Lastpage :
90
Abstract :
Security Patrol Robot was used to inspect the abnormal situation in the alert zone. To detect the hanging obstacles, a stereo sensing system was designed, which was composed of a full range of ultrasonic sensors with three-dimensional layout. Using obstacle distribution data acquired in this system, the improved BCM algorithm was proposed to guide robot to avoid obstacles. In the algorithm, the ranging information acquired by the three layers´ sensors was mapped into the horizontal plane. And then with the constraints from the kinematics and dynamics of robot, overlapping simplified beams were constructed from the two dimensional distribution of obstacles. After the optimization beam searching, the corresponding angular velocity and the line speed were calculated and put out to control the robot to avoid vehicles and pedestrians on the road. Finally, in the experiments of campus environment, the effectiveness of the proposed algorithm was demonstrated.
Keywords :
collision avoidance; mobile robots; optimisation; robot dynamics; robot kinematics; service robots; velocity control; BCM obstacle avoidance algorithm; angular velocity control; beam curvature method; line speed control; obstacle distribution data; optimization beam searching; outdoor patrol robot; robot dynamics; robot kinematics; security patrol robot; stereo sensing system; Acoustics; Angular velocity; Collision avoidance; Roads; Robot sensing systems; Beam curvature method; Obstacle Avoidance; Security Patrol Robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
Type :
conf
DOI :
10.1109/ICMTMA.2014.26
Filename :
6802642
Link To Document :
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