Intelligent vision process for robot manipulation

Alexander Yu-Kuang Chen; Eugene Y. Chen

doi:10.1117/12.25154

1 February 1991 Intelligent vision process for robot manipulation

Alexander Yu-Kuang Chen, Eugene Y. Chen

Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25154
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

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.

Citation Download Citation

Alexander Yu-Kuang Chen and Eugene Y. Chen "Intelligent vision process for robot manipulation", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25154

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available