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Minimum distances for robot task simulation

Published online by Cambridge University Press:  09 March 2009

W. Edward Red
Affiliation:
Associate Professor, Department of Mechanical Engineering, 242P Clyde Building, Brigham Young University, Provo, Utah 84602 (U.S.A.)

Summary

Minimum distance algorithms allow users of robot simulation programs to maneuver manipulation arms around and between workspace obstacles. Additionally, they can be used to generate configuration maps for path planning of the manipulator “point” through a more abstract configuration space. This paper summarizes an algorithm for determining minimum distances between two polyhedral elements. Examples of configuration space maps and Cartesian stepping techniques demonstrate algorithmic utility for robot path planning. A number of accelerating strategies which depend on a heirarchical spatial representation of manipulator and workspace elements maintain reasonable CPU times for the simulation user.

Type
Article
Copyright
Copyright © Cambridge University Press 1983

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References

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