Intelligent Robotic Systems: Design, Planning, and Control

Front Cover
Springer Science & Business Media, Jan 31, 1999 - Computers - 310 pages
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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Contents

Introduction
1920
Intelligent Robotic Systems
1929
CA1CAM Systems tor Robotic Cell Design
The Execution Level of Robotic Agent Action
The Coordination Level of a Multiagent Robotic System
The Organization Level of a Robotic System
RealTime Monitoring
ObjectOriented DiscreteEvent Simulator of Intelligent Robotic
References
Index
Copyright

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