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Control and Learning in Robotic Systems
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Editors: John X. Liu
Book Description:
Robotics began as a science fiction creation which has become quite real, first in assembly line operations such as automobile manufacturing, airplane construction etc. They have now reached such areas as the internet, ever-multiplying-medical uses and sophisticated military applications. Control of today’s robots is often remote which requires even more advanced computer vision capabilities as well as sensors and interface techniques. Learning has become crucial for modern robotic systems as well. This new book deals with control and learning in robotic systems.

Table of Contents:

Chapter 1 - Real-time Data Streaming for Internet Robots; pp. 1-20
(Peter Xiaoping Liu, Carleton University, Ottawa, Canada and Max Meng, Chinese University of Hong Kong, Hong Kong);

Chapter 2 - Modeling for Reactive Control and Decision Making in Uncertain Environment; pp. 21-58
(Ayeley P. Tchangani, Universite Toulouse III, Tarbes Cedex, France);

Chapter 3 - Evolutionary Acquisition of Fuzzy Control Based Performance Skill Using a Three-Link Rings Gymnastic Robot;
pp. 59-85
(Takaaki Yamada et al., Kagoshima National College of Technology, Japan);

Chapter 4 - Uncertain Variables and Their Applications in Intelligent Uncertain Systems; pp. 87-121
(Z. Bubnicki, Wroclaw University of Technology, Poland);

Chapter 5 - Perceptive Planning and Control of Robotic System in a Hybrid System Framework; pp. 123-148
(Yu Sun and Ning Xi, Michigan State University, Michigan);

Chapter 6 - Pattern-based Heuristics for Master Production Scheduling with a Continuous Manner; pp. 149-180
(Hsiao-Fan Wang, National Tsing Hua University, Hsinchu, Taiwan and Kuang-Yao Wu, National United University, Miaoli, Taiwan);

Chapter 7 - Combining Learning and Evolution for Adaptive Atonomous Systems; pp. 181-203
(Genci Capi et alFukoka Institute of Technology, Japan);

Chapter 8 - Voronoi-based Map Learning and Understanding in Robotic Problems; pp 205-241
(B.L. Boada et al., Carlos III University, Madrid, Spain);

Chapter 9 - Multi-Stage Learning Controller for Underactuated Robot Manipulators; pp. 243-258
(Lanka Udwatta, University of Moratuwa, Sri Lanka and Keigo Watanabe, Saga University, Japan);

Chapter 10 - Adaptive Abilities in Hybrid Genetic Algorithm;
pp. 259-279
(YoungSu Yun, Daegu University, Korea and Mitsuo Gen, Waseda University, Japan);

Chapter 11 - Reliable Feature Evaluation in Classification and Regression; pp. 281-319
(Marko Robnik-Sikonja and Igor Kononenko, University of Ljubljana, Slovenia);


   Binding: Hardcover
   Pub. Date: 2005
   ISBN: 1-59454-356-9
   Status: AV
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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