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Soft Computing for Intelligent Robotic Systems

Research results using some of the most advanced soft computing techniques in intelligent robotic systems are presented. The main purpose of this book is to show how the power of soft computing techniques can be exploited in intelligent robotic systems. The main emphasis is on control system for a m...

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Bibliographic Details
Other Authors: Fukuda, Toshio (Editor)
Format: eBook
Language:English
Published: Heidelberg Physica 1998, 1998
Edition:1st ed. 1998
Series:Studies in Fuzziness and Soft Computing
Subjects:
Industrial Management
Control, Robotics, Automation
Applied Dynamical Systems
Artificial Intelligence
It In Business
Nonlinear Theories
Control Engineering
Robotics
Automation
Business Information Services
Dynamics
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 A Fuzzy-Neural Realization of Behavior-Based Control Systems for a Mobile Robot
  • 2 Artificial Immune Network and its Application to Robotics
  • 3 Reinforcement Learning of a Six-Legged Robot to Walk and Avoid Obstacles
  • 4 Neural Networks for Visual Servoing in Robotics
  • 5 Intelligent Optimal Design of CMAC Neural Network for Robot Manipulators
  • 6 Hierarchical Behavior Controller in Robotic Applications
  • 7 Neural Reinforcement Learning for Robot Navigation
  • 8 Neural Fuzzy Techniques in Sonar-Based Collision Avoidance
  • 9 Trends in Evolutionary Robotics

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