Autonomous Navigation in Dynamic Environments

  • Editors
  • Christian Laugier
  • Raja Chatila

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 35)

Table of contents

  1. Front Matter
  2. Dynamic World Understanding and Modelling for Safe Navigation

    1. Front Matter
      Pages 1-1
    2. Wolfram Burgard, Cyrill Stachniss, Dirk Hähnel
      Pages 3-28
    3. Andrew Lookingbill, David Lieb, Sebastian Thrun
      Pages 29-44
    4. Christian Laugier, Stéphane Petti, Dizan Vasquez, Manuel Yguel, Thierry Fraichard, Olivier Aycard
      Pages 45-82
  3. Obstacle Avoidance and Motion Planning in Dynamic Environments

    1. Front Matter
      Pages 83-83
    2. Rachid Alami, K. Madhava Krishna, Thierry Siméon
      Pages 85-106
    3. Zvi Shiller, Frederic Large, Sepanta Sekhavat, Christian Laugier
      Pages 107-119
    4. Roland Philippsen, Björn Jensen, Roland Siegwart
      Pages 135-148
  4. Human-Robot Physical Interactions

    1. Front Matter
      Pages 149-149
    2. Elena Pacchierotti, Patric Jensfelt, Henrik I. Christensen
      Pages 151-168
  5. Back Matter

About this book


The purpose of this book is to address the challenging problem of Autonomous Navigation in Dynamic Environments, and to present new ideas and approaches in this newly emerging technical domain. The book surveys the state-of-the-art, discusses in detail various related challenging technical aspects, and addresses upcoming technologies in this field. The aim of the book is to establish a foundation for a broad class of mobile robot mapping and navigation methodologies for indoor, outdoor, and exploratory missions.

Three main topics located on the cutting edge of the state of the art are addressed, from both the theoretical and technological point of views: Dynamic world understanding and modelling for safe navigation, Obstacle avoidance and motion planning in dynamic environments, and Human-robot physical interactions. Several models and approaches are proposed for solving problems such as Simultaneous Localization and Mapping (SLAM) in dynamic environments, Mobile obstacle detection and tracking, World state estimation and motion prediction, Safe navigation in dynamic environments, Motion planning in dynamic environments, Robust decision making under uncertainty, and Human-Robot physical interactions.


IWK 07 Motion Prediction Navigation Robot Navigation SLAM Tracking learning mobile robot modeling motion planning path planning robot sensor supervised learning uncertainty

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-73421-5
  • Online ISBN 978-3-540-73422-2
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site