Intelligent Robotic Systems: Theory, Design and Applications

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Springer Science & Business Media, Dec 6, 2012 - Technology & Engineering - 252 pages
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.
 

Contents

Chapter
1
Section
3
Chapter
10
The Duality of the Concept of Entropy
24
Knowledge Based Expert Systems
32
ON THE GENERAL THEORY
39
1
41
2
49
7 The Motion Gripper System Coordinators
109
Discussion
114
8 Generic Control System Configuration
117
Definitions and the Principle of Increasing
124
1 The Model for the Machine Reasoning
129
3 The Model for the Machine Decision
135
6 Hardware for the Probabilistic Method
141
10 Hardware Coordinator Configuration
147

4
55
THE MATHEMATICAL MODEL
59
Topic 2
65
1
72
Topic 5
77
3
89
4
95
6
107
Introduction
155
Topic 2
162
Topic 4
170
Topic 5
177
Appendix
219
211
234
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