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Here is a comprehensive presentation of methodology for the design and synthesis of an intelligent complex robotic system, connecting formal tools from discrete system theory, artificial intelligence, neural network, and fuzzy logic. The necessary methods for solving real time action planning, coordination and control problems are described. A notable chapter presents a new approach to intelligent robotic agent control acting in a realworld environment based on a lifelong learning approach combining cognitive and reactive capabilities. Another key feature is the homogeneous description of all solutions and methods based on system theory formalism.
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1
Intelligent Robotic Systems: Design, Planning, and Control
Oct 04, 2014, Springer
paperback
1475772394 9781475772395
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2
Intelligent Robotic Systems: "Design, Planning, And Control"
Mar 08, 2013, Springer
paperback
1475772408 9781475772401
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3
Intelligent Robotic Systems: Design, Planning, and Control
2006, Springer London, Limited
in English
0306469677 9780306469671
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4
Intelligent Robotic Systems: Design, Planning, and Control (IFSR International Series on Systems Science and Engineering)
January 31, 1999, Springer
Hardcover
in English
- 1 edition
0306460629 9780306460623
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Book Details
First Sentence
"In a complex system using robotic agents, knowledge about the surrounding environment determines the structure and methodologies used to control and coordinate the system, which leads to an increase in the intelligence of the individual system components."



