Considers both the theory and the practical problems encountered in adding high-speed machine vision for the closed-loop position control of a robot manipulator. Focuses on experiments to build and verify models of the physical system components such as robots, cameras, and vision systems; then uses the models for controller synthesis, verifies the controllers experimentally, and compares them with the results obtained by simulation. Addressed to advanced graduate students, researchers, or designers in robotics. Developed from a doctoral dissertation for the University of Melbourne in 1994 or 1995. Annotation c. by Book News, Inc., Portland, Or.
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This text addresses the application of machine vision as a sensor for high-performance control of robot manipulator position. In order to achieve high-performance it is argued that it is necessary to have accurate dynamical models of the system to be controlled (the robot) and the sensor (the camera and vision system). The text provides supporting theory, experimentation and practical coverage of the topic.
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