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Intelligent Control of Robotic Systems
Vukobratovic, Miomir; Katic, Dusko
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Description for Intelligent Control of Robotic Systems
Hardback. Covers the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. This work emphasises the development of efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of compliance tasks. Series: Intelligent Systems, Control and Automation: Science and Engineering. Num Pages: 296 pages, biography. BIC Classification: TJFM1. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 19. Weight in Grams: 628.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2003
Publisher
Kluwer Academic Publishers United States
Number of pages
296
Condition
New
Series
Intelligent Systems, Control and Automation: Science and Engineering
Number of Pages
296
Place of Publication
New York, NY, United States
ISBN
9781402016301
SKU
V9781402016301
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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