9 February 1989 Integration Of Model-Based Computer Vision And Robotic Planning
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Proceedings Volume 1008, Expert Robots for Industrial Use; (1989); doi: 10.1117/12.949129
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States
Abstract
A large class of man-made objects are characterized by a hierarchical composition consisting of geometric features, special markings and kinematics of movable parts. This hierarchy provides a natural algorithmic control structure that successively constrains the image processing, defining at each level the image region of interest and the significant patterns to be identified. A demonstration of this principle is provided in this paper using Task Panel images. The Task Panel has several movable doors, panels and latches. The model-based vision system determines the "state" of the Task Panel from a single input image. Furthermore, the vision system is integrated with a robot planning system that controls a T-3 746 manipulator as it performs simple tasks such as opening and closing doors on the Task Panel.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. J. Wolfe, D. Mathis, C. Weber, M. Magee, "Integration Of Model-Based Computer Vision And Robotic Planning", Proc. SPIE 1008, Expert Robots for Industrial Use, (9 February 1989); doi: 10.1117/12.949129; https://doi.org/10.1117/12.949129
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KEYWORDS
Visual process modeling

Model-based design

Data modeling

Computer vision technology

Machine vision

Systems modeling

Computing systems

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