Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications

✍ Scribed by J. Mira, A. E. Delgado (auth.), Prof. Dr. Changjiu Zhou, Prof. Dr. Darío Maravall, Dr. Dr. h.c. Da Ruan (eds.)

• Publisher: Physica-Verlag Heidelberg
• Year: 2003
• Tongue: English
• Leaves: 504
• Series: Studies in Fuzziness and Soft Computing 116
• Edition: 1
• Category: Library

✦ Synopsis

This book contains an edited collection of eighteen contributions on soft and hard computing techniques and their applications to autonomous robotic systems. Each contribution has been exclusively written for this volume by a leading researcher. The volume demonstrates the various ways that the soft computing and hard computing techniques can be used in different integrated manners to better develop autonomous robotic systems that can perform various tasks of vision, perception, cognition, thinking, pattern recognition, decision-making, and reasoning and control, amongst others. Each chapter of the book is self-contained and points out the future direction of research.

"It is a must reading for students and researchers interested in exploring the potentials of the fascinating field that will form the basis for the design of the intelligent machines of the future"
(Madan M. Gupta)

✦ Table of Contents

Front Matter....Pages I-XIII
Front Matter....Pages 1-1
Where is Knowledge in Robotics? Some Methodological Issues on Symbolic and Connectionist Perspectives of AI....Pages 3-34
Introduction to Fusion Based Systems — Contributions of Soft Computing Techniques and Application to Robotics....Pages 35-71
Front Matter....Pages 73-73
Applied Soft Computing Strategies for Autonomous Field Robotics....Pages 75-102
Integration of Reactive Utilitarian Navigation and Topological Modeling....Pages 103-139
Line-Crawling Robot Navigation: A Rough Neurocomputing Approach....Pages 141-163
Hierarchical Planning in a Mobile Robot for Map Learning and Navigation....Pages 165-188
An Analytical Method for Decomposing the External Environment Representation Task for a Robot with Restricted Sensory Information....Pages 189-215
Evolutionary Artificial Potential Field — Applications to Mobile Robot Path Planning....Pages 217-232
Front Matter....Pages 233-233
Using Hierarchical Fuzzy Behaviors in the RoboCup Domain....Pages 235-262
A Bio-Inspired Robotic Mechanism for Autonomous Locomotion in Unconventional Environments....Pages 263-292
Online Learning and Adaptation for Intelligent Embedded Agents Operating in Domestic Environments....Pages 293-322
Integration of Soft Computing Towards Autonomous Legged Robots....Pages 323-352
Grasp Learning by Active Experimentation Using Continuous B-Spline Model....Pages 353-372
Online Adaptive Fuzzy Neural Identification and Control of Nonlinear Dynamic Systems....Pages 373-402
Hybrid Fuzzy Proportional-Integral plus Conventional Derivative Control of Robotics Systems....Pages 403-427
Front Matter....Pages 429-429
Robot Vision Using Cellular Neural Networks....Pages 431-450
Multiresolution Vision in Autonomous Systems....Pages 451-470
A Computer Vision Based Human-Robot Interface....Pages 471-492
Back Matter....Pages 493-500

✦ Subjects

Artificial Intelligence (incl. Robotics); Pattern Recognition; Control, Robotics, Mechatronics