• 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