Overview
- Provides a unique collection of cognitive systems research
- Addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 46)
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Table of contents (14 chapters)
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Front Matter
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Robotics
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Front Matter
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Back Matter
Keywords
About this book
Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart provides a unique collection of a sizable segment of the cognitive systems research community in Europe. It reports on contributions from leading academic institutions brought together within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS). This fourteen-chapter volume covers important research along two main lines: new probabilistic models and algorithms for perception and action, new probabilistic methodology and techniques for artefact conception and development. The work addresses key issues concerned with Bayesian programming, navigation, filtering, modelling and mapping, with applications in a number of different contexts.
Reviews
From the reviews:
"This collection of papers presents results from 12 different PhD theses that fall under a unifying Bayesian programming theme. … The book is relevant to researchers in robotics who are interested in approaches on uncertainty." (Yousri El Fattah, ACM Computing Reviews, July, 2009)
Bibliographic Information
Book Title: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
Editors: Pierre Bessière, Christian Laugier, Roland Siegwart
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-540-79007-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-79006-8Published: 15 May 2008
Softcover ISBN: 978-3-642-09784-3Published: 22 October 2010
eBook ISBN: 978-3-540-79007-5Published: 27 August 2008
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 1
Number of Pages: XIX, 378
Topics: Robotics and Automation, Control, Robotics, Mechatronics, Artificial Intelligence, Systems Theory, Control