Intelligent Control of Robotic Systems: 25 (Intelligent Systems, Control and Automation: Science and Engineering, 25) - Tapa dura

Libro 25 de 56: Intelligent Systems, Control and Automation: Science and Engineering

Katic, D.; Vukobratovic, M.

 
9781402016301: Intelligent Control of Robotic Systems: 25 (Intelligent Systems, Control and Automation: Science and Engineering, 25)
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ISBN 10: 1402016301 ISBN 13: 9781402016301
Editorial: Springer, 2003

Sinopsis

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.

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Reseña del editor

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.

Reseña del editor

This book provides a strong coverage of both the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. Specific emphasis in the research work is given on the development of new efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of robotic compliance tasks. The book contains several different examples of applications based on neural and hybrid intelligent techniques.

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Editorial
Springer
Año de publicación
2003
Idioma
Inglés
ISBN 10 
1402016301
ISBN 13 
9781402016301
Encuadernación
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Número de páginas
322
Contacto del fabricante
ROXIO
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
22391
Alemania

Otras ediciones populares con el mismo título

9789048164264: Intelligent Control of Robotic Systems: 25 (Intelligent Systems, Control and Automation: Science and Engineering)

Edición Destacada

ISBN 10:  9048164265 ISBN 13:  9789048164264
Editorial: Springer, 2010
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