Robot Navigation from Nature

Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models

  • Authors
  • Michael John Milford

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 41)

Table of contents

  1. Front Matter
  2. Michael John Milford
    Pages 1-7
  3. Michael John Milford
    Pages 9-13
  4. Michael John Milford
    Pages 15-28
  5. Michael John Milford
    Pages 29-39
  6. Michael John Milford
    Pages 41-53
  7. Michael John Milford
    Pages 55-60
  8. Michael John Milford
    Pages 61-86
  9. Michael John Milford
    Pages 87-116
  10. Michael John Milford
    Pages 117-128
  11. Michael John Milford
    Pages 129-143
  12. Michael John Milford
    Pages 145-161
  13. Michael John Milford
    Pages 163-171
  14. Back Matter

About this book

Introduction

This book describes the development of a robot mapping and navigation system inspired by models of the neural mechanisms underlying spatial navigation in the rodent hippocampus. Computational models of animal navigation systems have traditionally had limited performance when implemented on robots. The aim of the work was to determine the extent to which hippocampal models can be used to provide a robot with functional mapping and navigation capabilities in real world environments. The focus of the research was on achieving practical robot performance, rather than maintaining biological plausibility.

Keywords

Bio-Mimetic Hippocampus Navigation SLAM algorithms neural mechanisms robot

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-77520-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-77519-5
  • Online ISBN 978-3-540-77520-1
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • About this book