Highly Redundant Sensing in Robotic Systems
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Author
Contributions
- Balchen, Jens G. - Contributor
Publication
1990 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
80,500 words, Guess
Page Count
322 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivehighlyredundants00touj
- ISBN-103642840515
- ISBN-139783642840517
- OCLC Control Number840301436
- Better World Books9783642840517
and 1 more
- Open LibraryOL27043470M
Classifications
- LCCQA75.5-76.95
Alternate Titles
- Proceedings of the NATO Advanced Research Workshop on Highly Redundant Sensing in Robotic Systems held in Il Ciocco, Italy, May 16-20, 1988
Description
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.
Subjects
Series Statement
- NATO ASI Series, Series F: Computer and Systems Sciences -- 58
- NATO ASI series -- 58.
Links
Other Editions
- Highly Redundant Sensing in Robotic Systems
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