Intelligent Robotic Systems: Theory, Design and Applications
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 c...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
1992, 1992
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| Edition: | 1st ed. 1992 |
| Series: | The Springer International Series in Engineering and Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 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
- 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