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Sensor-based obstacle modeling in configuration space for manipulator motion planning

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5 Author(s)
Wei Li ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China ; Chenyu Ma ; Zusbun Chen ; Qi Cao
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This paper presents an approach to sensor-based obstacle modeling in a configuration space for manipulator motion planning in unknown environments. In order to achieve this objective, an efficient algorithm is used to fast map obstacles based on defined fundamental obstacles in the workspace and their images in the configuration space. A robotic manipulator is assumed to be equipped with “distance” sensors to detect obstacles in the local region. By computation of the critical points of an obstacle based on information acquired by the “distance” sensors, an obstacle model in the configuration space is constructed. By using this sensor-based configuration space modeling, robot motion planning in unknown environments can be performed in realistic time frames

Published in:

Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on

Date of Conference:

8-11 Dec 1996