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|a 10.1007/978-1-4615-3568-3
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|a Valavanis, Kimon P.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
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|a Intelligent Robotic Systems: Theory, Design and Applications
|h [electronic resource] /
|c by Kimon P. Valavanis, George N. Saridis.
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| 250 |
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|a 1st ed. 1992.
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| 264 |
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1 |
|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 1992.
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| 300 |
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|a XX, 252 p.
|b online resource.
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| 490 |
1 |
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|a The Springer International Series in Engineering and Computer Science,
|x 0893-3405 ;
|v 182
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
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|a 1 Introduction -- Section 1 Introduction -- Section 2 Outline of the Monograph -- 2 A Review on Hierarchical and Expert Systems -- Section 1 Introduction -- Section 2 Information Theory as Applied to General Systems Theory and Modeling of Decision Makers -- Section 3 The Duality of the Concept of Entropy and its Application to Control Theory -- Section 4 Hierarchically Intelligent Systems -- Section 5 Knowledge Based Expert Systems -- Section 6 Comparison Between Knowledge Based Expert Systems and Intelligent Machines -- Section 7 Remarks -- 3 On the General Theory of Intelligent Machines -- Section 1 Introduction -- Section 2 Review of the Analytic Formulation of Intelligent Controls -- Section 3 Definitions and the Principle of Increasing Precision with Decreasing Intelligence -- Section 4 The Analytic Formulation of the Principle of Increasing Precision with Decreasing Intelligence -- Section 5 The Analytic Structure of an Intelligent Machine -- Section 6 Intelligent Machines in a Distributed Intelligence Environment -- Section 7 Applications to Robotic Systems -- Section 8 Remarks -- 4 The Mathematical Model for Intelligent Robotic Systems -- Section 1 Introduction -- Section 2 The Probabilistic Model of the Organization Level -- Section 3 The Expert System Cell for the Organization Level -- Section 4 The Coordination Level -- Section 5 The Execution Level -- Section 6 Summary of the Mathematical Model -- Section 7 Integrated Control and Diagnostics in Intelligent Robotic Systems -- Section 8 Discussion -- Section 9 Remarks -- 5 Architectural Models for Ntelligent Robotic Systems -- Section 1 Introduction -- Section 2 The Architectural Model for the Organization Level -- Section 3 The Architectural Model for the Coordination Level -- Section 4 The Architectural Model for the Execution Level -- Section 5 The Architectural Model for the Upgrade Phase -- Section 6 Remarks -- 6 Examples and Case Studies -- Section 1 Introduction -- Section 2 An Intelligent Robot Operating System for Emergency Situations In A Nuclear Power Plant -- Section 3 An Intelligent Robotic System Operating in a Hospital Environment -- Section 4 A Robotic Assembly System -- Section 5 Remarks -- 7 Conclusions and Recommendations -- Section 1 Summary -- Section 2 Present and Future Developments in Intelligent Controls -- Section 3 Some Ideas for Future Investigation -- Appendix A References -- Appendix B Glossary -- Appendix C Abbreviations.
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|a 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.
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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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|a Control engineering.
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| 650 |
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|a Robotics.
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| 650 |
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|a Mechatronics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Electrical engineering.
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| 650 |
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0 |
|a Statistical physics.
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| 650 |
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0 |
|a Dynamical systems.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
1 |
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|a Saridis, George N.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
2 |
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