
Intelligent Control of Robotic Systems
Kluwer Academic Publishers
Published on 31. October 2003
Book
Hardback
XIX, 296 pages
978-1-4020-1630-1 (ISBN)
Description
As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.
More details
Series
Edition
2003 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XIX, 296 p.
Dimensions
Height: 247 mm
Width: 168 mm
Thickness: 19 mm
Weight
689 gr
ISBN-13
978-1-4020-1630-1 (9781402016301)
DOI
10.1007/978-94-017-0317-8
Schweitzer Classification
Other editions
Additional editions

D. Katic | M. Vukobratovic
Intelligent Control of Robotic Systems
E-Book
03/2013
Springer
€149.79
Available for download

D. Katic | M. Vukobratovic
Intelligent Control of Robotic Systems
Book
12/2010
Springer
€160.49
Shipment within 15-20 days
Content
1. Intelligent Control in Contemporary Robotics.- 2. Neural Network Approach in Robotics.- 3. Fuzzy Logic Approach in Robotics.- 4. Genetic Algorithms in Robotics.- 5. Hybrid Intelligent Approaches in Robotics.- 6. Synthesis of Connectionist Control Algorithms for Robot Contact Tasks.- 7. Synthesis of Comprehensive Connectionist Control Algorithms for Contact Tasks.- 8. Examples of Intelligent Techniques for Robotic Applications.- References.- About the Authors.