Autonomous Robotic Systems: Soft Computing and Hard Computing Methodologies and Applications / Edition 1

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More About This Textbook


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)

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Product Details

  • ISBN-13: 9783790815467
  • Publisher: Physica-Verlag HD
  • Publication date: 1/7/2003
  • Series: Studies in Fuzziness and Soft Computing Series , #116
  • Edition description: 2003
  • Edition number: 1
  • Pages: 500
  • Product dimensions: 6.40 (w) x 9.50 (h) x 1.40 (d)

Table of Contents

Pt. 1 Basic Principles and Methodologies 1
Where is Knowledge in Robotics? Some Methodological Issues on Symbolic and Connectionist Perspectives of AI 3
Introduction to Fusion Based Systems - Contributions of Soft Computing Techniques and Application to Robotics 35
Pt. 2 Planning and Navigation 73
Applied Soft Computing Strategies for Autonomous Field Robotics 75
Integration of Reactive Utilitarian Navigation and Topological Modeling 103
Line-Crawling Robot Navigation: A Rough Neurocomputing Approach 141
Hierarchical Planning in a Mobile Robot for Map Learning and Navigation 165
An Analytical Method for Decomposing the External Environment Representation Task for a Robot with Restricted Sensory Information 189
Evolutionary Artificial Potential Field - Applications to Mobile Robot Path Planning 217
Pt. 3 Learning, Adaptation and Control 233
Using Hierarchical Fuzzy Behaviors in the RoboCup Domain 235
A Bio-Inspired Robotic Mechanism for Autonomous Locomotion in Unconventional Environments 263
Online Learning and Adaptation for Intelligent Embedded Agents Operating in Domestic Environments 293
Integration of Soft Computing Towards Autonomous Legged Robots 323
Grasp Learning by Active Experimentation Using Continuous B-Spline Model 353
Online Adaptive Fuzzy Neural Identification and Control of Nonlinear Dynamic Systems 373
Hybrid Fuzzy Proportional-Integral plus Conventional Derivative Control of Robotics Systems 403
Pt. 4 Vision and Perception 429
Robot Vision Using Cellular Neural Networks 431
Multiresolution Vision in Autonomous Systems 451
A Computer Vision Based Human-Robot Interface 471
Subject Index 493
Contributors 497
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