Table of contents

  1. Front Matter
  2. J. P. Laumond, S. Sekhavat, F. Lamiraux
    Pages 1-53
  3. A. Bellaïche, F. Jean, J. -J. Risler
    Pages 55-91
  4. P. Souères, J. -D. Boissonnat
    Pages 93-170
  5. A. De Luca, G. Oriolo, C. Samson
    Pages 171-253
  6. P. Švestka, M. H. Overmars
    Pages 255-304
  7. P. Jiménez, F. Thomas, C. Torras
    Pages 305-343
  8. Back Matter

About this book

Introduction

How can a robot decide what motions to perform in order to achieve tasks in the physical world? Robot motion planning encompasses several different disciplines, most notably robotics, computer science, control theory and mathematics. This volume presents an interdisciplinary account of recent developments in the field. Topics covered include: combining geometric algorithms and control techniques to account for the nonholonomic constraints of most mobile robots; the mathematical machinery necessary for understanding nonholonomic systems; applying optimal techniques to compute optimal paths; feedback control for nonholonomic mobile robots; probabilistic algorithms and new motion planning approaches; and a survey of recent techniques for dealing with collision detection.

Keywords

control control theory feedback motion planning path planning robot robotics

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0036069
  • Copyright Information Springer-Verlag 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-76219-5
  • Online ISBN 978-3-540-40917-5
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • About this book