β Scribed by Keigo Watanabe, Kiyotaka Izumi (auth.), Prof. Lakhmi C. Jain, Prof. Toshio Fukuda (eds.)
No coin nor oath required. For personal study only.
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 mobile robot, behavior arbitration for a mobile robot, reinforcement learning of a robot, manipulation of a robot, collision avoidance and automatic design of robots.
This book will be useful for application engineers, scientists and researchers who wish to use some of the most advanced soft computing techniques in robotics.
Front Matter....Pages I-X
A Fuzzy-Neural Realization of Behavior-Based Control Systems for a Mobile Robot....Pages 1-26
Artificial Immune Network and Its Application to Robotics....Pages 27-48
Reinforcement Learning of a Six-Legged Robot to Walk and Avoid Obstacles....Pages 49-80
Neural Networks for Visual Servoing in Robotics....Pages 81-111
Intelligent Optimal Design of CMAC Neural Network for Robot Manipulators....Pages 113-140
Hierarchical Behavior Controller in Robotic Applications....Pages 141-157
Neural Reinforcement Learning for Robot Navigation....Pages 159-184
Neural Fuzzy Techniques in Sonar-Based Collision Avoidance....Pages 185-214
Trends in Evolutionary Robotics....Pages 215-233
Back Matter....Pages 235-238
Artificial Intelligence (incl. Robotics);Business Information Systems;Complexity;Control, Robotics, Mechatronics;Engineering Economics, Organization, Logistics, Marketing
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<p>This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired op
<p>This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired op
<p><span>This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18β20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The bo