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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems

  • Editors
  • Pierre Bessière
  • Christian Laugier
  • Roland Siegwart

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 46)

Table of contents

  1. Front Matter
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Pierre Bessière, Olivier Lebeltel
      Pages 19-48
  3. Robotics

    1. Front Matter
      Pages 49-49
    2. Cédric Pradalier, Pierre Bessière
      Pages 51-75
    3. M. K. Tay, Kamel Mekhnacha, M. Yguel, C. Coué, Cédric Pradalier, Christian Laugier et al.
      Pages 77-98
    4. Adriana Tapus, Roland Siegwart
      Pages 99-127
    5. Guy Ramel, Roland Siegwart
      Pages 129-151
    6. Carla Cavalcante Koike, Pierre Bessière, Emmanuel Mazer
      Pages 177-201
  4. Industrial Applications

    1. Front Matter
      Pages 203-203
    2. Miriam Amavizca, Christian Laugier, Emmanuel Mazer, Juan Manuel Ahuactzin, Francois Leitner
      Pages 233-261
    3. Ronan Le Hy, Pierre Bessiére
      Pages 263-276
  5. Cognitive Modelling

    1. Front Matter
      Pages 277-277
    2. Jean Laurens, Jacques Droulez
      Pages 279-300
    3. Francis Colas, Pierre Bessière, Jacques Droulez, Mark Wexler
      Pages 301-328
    4. Jihène E. Serkhane, Jean-Luc Schwartz, Pierre Bessière
      Pages 329-357
  6. Back Matter

About this book

Introduction

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.

Keywords

Bayesian Programming Navigation Probabilistic Reasoning Sensor Sensory-Motor Systems algorithms cognitive systems filtering mobile robot programming robot robotics

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-79007-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-79006-8
  • Online ISBN 978-3-540-79007-5
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site
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