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Real-time motion planning for robot manipulators in unknown environments using infrared sensors

Published online by Cambridge University Press:  01 March 2007

Shuguo Wang ,
Jin Bao  and
Yili Fu
Shuguo Wang
Affiliation:
Robotics Institute, Harbin Institute of Technology, Harbin 150001, P. R. China
Jin Bao*
Affiliation:
Robotics Institute, Harbin Institute of Technology, Harbin 150001, P. R. China
Yili Fu
Affiliation:
Robotics Institute, Harbin Institute of Technology, Harbin 150001, P. R. China
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper deals with sensor-based motion planning method for a robot arm manipulator operating among unknown obstacles of arbitrary shape. It can be applied to online collision avoidance with no prior knowledge of the obstacles. Infrared sensors are used to build a description of the robot's surroundings. This approach is based on the configuration space but the construction of the C-obstacle surface is avoided. The point automation is confined on some planes with square grids in the C-space. A path-searching algorithm based on square grids is used to guide the automation maneuvering around the C-obstacles on the selected planes. To avoid the construction of the C-obstacle surface, the robot geometry model is expanded, and the static collision detection method is used. Hence, the computation time is reduced and the algorithm can work in real time. The effectiveness of the proposed method is verified by a series of experiments.

Keywords

Motion planningInfrared sensorsRobot manipulatorsStatic collision detectionsConfiguration space (C-space)
Type
Article
Information
Robotica , Volume 25 , Issue 2 , March 2007 , pp. 201 - 211
Copyright
Copyright © Cambridge University Press 2007

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