This thesis describes the implementation of a hierarchical robot simulation environment which supports the design of robots with vision and mobility. A seeing robot model applies a classification expert system for visual identification of laboratory objects. The visual data acquisition algorithm used by the robot vision system has been developed to exploit multiple viewing distances and perspectives. Several different simulations have been run testing the visual logic in a laboratory environment. Much work remains to integrate the vision system with the rest of the robot system.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/276998 |
Date | January 1989 |
Creators | Luh, Cheng-Jye, 1960- |
Contributors | Zeigler, Bernard P. |
Publisher | The University of Arizona. |
Source Sets | University of Arizona |
Language | en_US |
Detected Language | English |
Type | text, Thesis-Reproduction (electronic) |
Rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
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