Overview
- Editors:
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Julius T. Tou
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Center for Information Research, University of Florida, Gainesville, USA
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Jens G. Balchen
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Division of Engineering Cybernetics, Norwegian Institute of Technology, University of Trondheim, Trondheim, Norway
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Table of contents (17 papers)
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General Theory and Overview
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Specific Data Fusion Approaches and Examples
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- J. Raczkowsky, U. Rembold
Pages 45-54
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- M. Bergamasco, P. Dario, A. Bicchi, G. Buttazzo
Pages 55-66
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- Ren C. Luo, Min-Hsiung Lin
Pages 67-86
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- N. Nandhakumar, J. K. Aggarwal
Pages 87-101
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- Charles Hansen, Nicholas Ayache, Francis Lustman
Pages 127-146
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Circuits and System Design
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Front Matter
Pages 147-147
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- Peter Röjder, Alexander Lauber
Pages 149-156
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- V. Cantoni, M. Ferretti, M. Savini
Pages 157-174
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Control Concepts
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Front Matter
Pages 175-175
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- Jens G. Balchen, Fredrik Dessen
Pages 263-275
About this book
Design of intelligent robots is one of the most important endeavors in robotics research today. The key to intelligent robot design lies in sensory systems for robotic control and manipulation. In an unstructural environment, robotic sensing translates measurements and characteristics of the environment and working objects into useful information. A robotic system is usually equipped with a variety of sensors to perform redundant sensing and achieve data fusion. This book contains revised versions of papers presented at a NATO Advanced Research Workshop held in Florida in September 1989 within the activities of the NATO Special Programme on Sensory Systems for Robotic Control. The fundamental issues addressed in this volume were: - Theory and techniques, including knowledge-based systems, geometrical fusion, Boolean fusion, probabilistic fusion, feature-based fusion, error-estimation approach, and Markov process modeling. - General concepts, including microscopic redundancy at the sensory element level, macroscopic redundancy at the sensory system level, parallel redundancy, and standby redundancy. - Implementation and application, including robotic control, sensory technology, robotic assembly, robot fingers, sensory signal processing, sensory system integration, and PAPIA architecture. - Biological analogies, including neural nets, pattern recognition, low-level fusion, and motor learning.
Editors and Affiliations
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Center for Information Research, University of Florida, Gainesville, USA
Julius T. Tou
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Division of Engineering Cybernetics, Norwegian Institute of Technology, University of Trondheim, Trondheim, Norway
Jens G. Balchen