Control and learning in robotic systems

Front Cover
Nova Science Publishers, 2005 - Technology & Engineering - 323 pages
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Robotics began as a science fiction creation which has become quite real, first in assembly line operations such as automobile manufacturing, aeroplane 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.

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Contents

Modeling for Reactive Control and Decision Making in
21
Evolutionary Acquisition of Fuzzy Control Based Performance
59
Uncertain Variables and Their Applications in Intelligent
87
Copyright

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