<p>This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimizatio
Intelligent Robotic Systems: Theory, Design and Applications
β Scribed by Kimon P. Valavanis, George N. Saridis (auth.)
- Publisher
- Springer US
- Year
- 1992
- Tongue
- English
- Leaves
- 264
- Series
- The Springer International Series in Engineering and Computer Science 182
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Since the late 1960s, there has been a revolution in robots and industrial automation, from the design of robots with no computing or sensorycapabilities (first-generation), to the design of robots with limited computational power and feedback capabilities (second-generation), and the design of intelligent robots (third-generation), which possess diverse sensing and decision making capabilities. The development of the theory of intelligent machines has been developed in parallel to the advances in robot design. This theory is the natural outcome of research and development in classical control (1950s), adaptive and learning control (1960s), self-organizing control (1970s) and intelligent control systems (1980s).
The theory of intelligent machines involves utilization and integration of concepts and ideas from the diverse disciplines of science, engineering and mathematics, and fields like artificial intelligence, system theory and operations research. The main focus and motivation is to bridge the gap between diverse disciplines involved and bring under a common cover several generic methodologies pertaining to what has been defined as machine intelligence. Intelligent robotic systems are a specific application of intelligent machines. They are complex computer controlled robotic systems equipped with a diverse set of visual and non visual sensors and possess decision making and problem solving capabilities within their domain of operation. Their modeling and control is accomplished via analytical and heuristic methodologies and techniques pertaining to generalized system theory and artificial intelligence.
Intelligent Robotic Systems: Theory, Design and Applications, presents and justifies the fundamental concepts and ideas associated with the modeling and analysis of intelligent robotic systems.
Appropriate for researchers and engineers in the general area of robotics and automation, Intelligent Robotic Systems is both a solid reference as well as a text for a graduate level course in intelligent robotics/machines.
β¦ Table of Contents
Front Matter....Pages i-xix
Introduction....Pages 1-11
A Review on Hierarchical and Expert Systems....Pages 13-38
On the General Theory of Intelligent Machines....Pages 39-57
The Mathematical Model for Intelligent Robotic Systems....Pages 59-123
Architectural Models for Intelligent Robotic Systems....Pages 125-154
Examples and Case Studies....Pages 155-209
Conclusions and Recommendations....Pages 211-218
Back Matter....Pages 219-252
β¦ Subjects
Control, Robotics, Mechatronics;Artificial Intelligence (incl. Robotics);Electrical Engineering;Statistical Physics, Dynamical Systems and Complexity
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