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Proceedings Paper

Intelligent vision process for robot manipulation
Author(s): Alexander Yu-Kuang Chen; Eugene Y. Chen
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Paper Abstract

A new approach is introduced in this paper to deal with the problems of real-time machine vision and pattern recognition for robotic manipulations. This approach emphasizes three directions: (1) the developed algorithm has to be compact enough for embedded intelligent control implementation (2) the computational scheme should be highly efficient for on-line robot reasoning and manipulations and (3) the resulting system has to be sufficiently flexible to accommodate various working environments and to cope with some system shortcomings. The vertical integration of related vision hardware image analysis software and analytical techniques (e. g. fuzzy logic and neural networks) together with the novel algorithms for robot eye-brain-hand coordination constitutes a unique robot vision system. The potential of more extensive hardware implementation is discussed and a wider spectrum of applications of the proposed robot vision system is envisioned.

Paper Details

Date Published: 1 February 1991
PDF: 14 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25154
Show Author Affiliations
Alexander Yu-Kuang Chen, Scientific Research Associates, Inc. (United States)
Eugene Y. Chen, Scientific Research Associates, Inc. (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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