Advertisement

Robotics and Cognitive Approaches to Spatial Mapping

  • Editors
  • Margaret E. Jefferies
  • Wai-Kiang Yeap

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 38)

Table of contents

  1. Front Matter
  2. Robot and Cognitive Approaches to Spatial Mapping

    1. Margaret E. Jefferies, Wai K. Yeap
      Pages 1-5
  3. Part I: Robot Mapping

    1. Front Matter
      Pages 7-7
    2. Raja Chatila
      Pages 9-12
    3. Sebastian Thrun
      Pages 13-41
    4. Steven Scheding, Richard Grover, Hugh Durrant-Whyte
      Pages 65-81
    5. Diedrich Wolter, Christian Freksa, Longin Jan Latecki
      Pages 105-134
  4. Part II: Cognitive Mapping

    1. Front Matter
      Pages 135-135
    2. Ken Cheng
      Pages 145-161
    3. Etienne Save, Vincent Hok, Sophie Renaudineau, Carole Parron, Bruno Poucet
      Pages 163-180
    4. Sabine Gillner, Hanspeter A. Mallot
      Pages 181-201
    5. Stephen C. Hirtle
      Pages 203-214
  5. Part III: Cognitive Robot Mapping

    1. Front Matter
      Pages 237-237
    2. Benjamin Kuipers
      Pages 239-242
    3. Margaret E. Jefferies, Jesse Baker, Wengrong Weng
      Pages 265-279
    4. Wai K. Yeap, Chee K. Wong, Jochen Schmidt
      Pages 281-295
    5. Matthias O. Franz, Wolfgang Stürzl, Wolfgang Hübner, Hanspeter A. Mallot
      Pages 297-314
  6. Back Matter

About this book

Introduction

This book brings together the fields of robot spatial mapping and cognitive spatial mapping, which share some common core problems. One would reasonably expect some cross-fertilisations of research between the two areas to have occurred, and this has happened but only recently. There are signs that both fields have matured and that efforts to cross-fertilise are happening, but it is neither complete nor common yet.

Robot spatial mapping, in this book, is about the problem of a robot computing a representation of its environment from data gathered by its sensors. This problem has been studied since the creation of the first autonomous mobile robot in the late nineteen-sixties. People and animals also compute a representation of their environment, which is commonly referred to as a cognitive map. Cognitive spatial mapping is about the problem of computing a cognitive map, and has been studied extensively by many researchers of disparate backgrounds.

The book consists of three parts: Robot Mapping, Cognitive Mapping, and Cognitive Robot Mapping. The first part addresses a cross section of problems commonly found in robot mapping, such as uncertainty, localization, unstructured environments, and control architectures. It includes a comprehensive introduction to the famous SLAM problem. Part two presents works on cognitive mapping and discusses how the findings could benefit researchers interested in robot mapping. Spatial cognition is examined based on behaviour of humans and animals, and how spatial information is encoded in the brain. The third part presents implementations of cognitive mapping theories on mobile robots. It includes computational models of cognitive maps, such as hybrid metric-topological ones, absolute space representations, and biomimetic approaches.

Keywords

Landmarks Localisation Navigation Robot Mapping autonom cognition learning mobile robot modeling perception robot robotics sensor sensors uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-75388-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-75386-5
  • Online ISBN 978-3-540-75388-9
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site