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Artificial moment method using attractive points for the local path planning of a single robot in complicated dynamic environments

Published online by Cambridge University Press:  07 June 2013

Wang-bao Xu ,
Jie Zhao ,
Xue-bo Chen  and
Ying Zhang
Wang-bao Xu
Affiliation:
School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, P. R. China School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan 114051, P. R. China
Jie Zhao
Affiliation:
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China
Xue-bo Chen*
Affiliation:
School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan 114051, P. R. China
Ying Zhang
Affiliation:
School of Electronics and Information Engineering, Liaoning University of Science and Technology, Anshan 114051, P. R. China
*
*Corresponding author. E-mail: [email protected]
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Summary

A novel path planner is presented for the local path planning of a single robot (represented with R) in a complicated dynamic environment. Here a series of attractive points are computed based on attractive segments for guiding R to move along a shorter path. Each attractive segment is obtained by using the full environmental knowledge and will be used for several sampling times in general. A motion controller, which is designed based on artificial moments and a robot model that has a principal motion direction line(PMDline), makes R move closely to attractive points while away from obstacles. Attractive and repulsive moments are designed, which only make R's PMDline face toward attractive points and opposite to obstacles in general, as in most cases, R will move along its PMDline with its full speed. Because of the guidance of attractive points and R's full-speed motion, the global convergence is guaranteed. Simulations indicate that the proposed path planner meets the requirements of real-time property while can optimize R's traveling path.

Keywords

Path planningAutonomous robotsMotion controlArtificial moment method
Type
Articles
Information
Robotica , Volume 31 , Issue 8 , December 2013 , pp. 1263 - 1274
Copyright
Copyright © Cambridge University Press 2013 

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