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This text presents the theory and application of neural networks with particular reference to robotic systems. Contributions from researchers in Europe, Japan and the USA provide a clear overview of the current stage of development in this area.
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Table of Contents

An Overview of Neural Networks in Control Applications. Artificial Neural Network-Based Intelligent Robot Dynamic Control. Neural Servo Controller for Position, Force and Stabbing Control of Robotic Manipulators. Model-Based Adaptive Neural Structures for Robotic Systems. Intelligent Coordination of Multiple Systems with Neural Networks. Neural Networks for Mobile Robot Piloting Control. A Neural Network Controller for the Navigation and Obstacle Avoidance of a Mobile Robot. An Ultrasonic 3-D Robot Vision System Based on the Statistical Properties of Artificial Neural Networks. Brain Building for a Biological Robot. Robustness of a Distributed Neural Network Controller for Locomotion in a Hixapod Robot.

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