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Algorithmic Foundations of Robotics V

  • Jean-Daniel Boissonnat
  • Joel Burdick
  • Ken Goldberg
  • Seth Hutchinson

Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 7)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Andrew M. Ladd, Lydia E. Kavraki
    Pages 7-23
  3. Fabian Schwarzer, Mitul Saha, Jean-Claude Latombe
    Pages 25-41
  4. Roland Geraerts, Mark H. Overmars
    Pages 43-57
  5. Steven M. LaValle, Michael S. Branicky
    Pages 59-75
  6. Tien-Ruey Hsiang, Esther M. Arkin, Michael A. Bender, Sándor P. Fekete, Joseph S. B. Mitchell
    Pages 77-93
  7. O. Burchan Bayazit, Jyh-Ming Lien, Nancy M. Amato
    Pages 95-111
  8. Han-Wen Nienhuys, A. Frank van der Stappen
    Pages 113-129
  9. Mehmet Serkan Apaydın, Douglas L. Brutlag, Carlos Guestrin, David Hsu, Jean-Claude Latombe
    Pages 131-147
  10. Pengpeng Wang, Kamal Gupta
    Pages 149-165
  11. Dezhen Song, A. Frank van der Stappen, Ken Goldberg
    Pages 167-183
  12. Robert Ghrist
    Pages 185-201
  13. John Canny, Jeremy Risner, Vivek Subramanian
    Pages 203-219
  14. Guilherme A. S. Pereira, Vijay Kumar, Mario F. M. Campos
    Pages 257-273
  15. Thierry Siméon, Juan Cortés, Anis Sahbani, Jean-Paul Laumond
    Pages 311-327
  16. Pankaj K. Agarwal, Robert-Paul Berretty, Anne D. Collins
    Pages 347-362
  17. Sebastian Thrun, Daphne Koller, Zoubin Ghahramani, Hugh Durrant-Whyte, Andrew Y. Ng
    Pages 363-380
  18. Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes
    Pages 381-398
  19. Yoav Gabriely, Elon Rimon
    Pages 417-433
  20. Mark Bedillion, William Messner
    Pages 453-468
  21. Todd D. Murphey, Joel W. Burdick
    Pages 487-503
  22. Nancy S. Pollard, Jessica K. Hodgins
    Pages 523-539
  23. Maxim Garber, Ming C. Lin
    Pages 541-558
  24. Back Matter
    Pages 576-576

About this book

Introduction

This book includes selected contributions from the Workshop WAFR 2002 held from December 15-17, 2002 in Nice, France. This fifth biannual Workshop on Algorithmic Foundations of Robotics focuses on algorithmic issues related to robotics and automation. The design and analysis of robot algorithms raises fundamental questions in computer science, computational geometry, mechanical modeling, operations research, control theory, and associated fields. The highly selective program highlights significant new results such as algorithmic models and complexity bounds. The validation of algorithms, design concepts, or techniques is the common thread running through this focused collection.

Keywords

3D Algorithmic Foundations Algorithms in Robotics Algoritms Operations Research Robotic Algorithms Robotics Sensor algorithm algorithms automation complexity geometry mobile robot robot

Editors and affiliations

  • Jean-Daniel Boissonnat
    • 1
  • Joel Burdick
    • 2
  • Ken Goldberg
    • 3
  • Seth Hutchinson
    • 4
  1. 1.INRIASophia-AntipolisFrance
  2. 2.Dept. of Mechanical EngineeringCalifornia Inst. of TechnologyPasadenaUSA
  3. 3.Dept. of Mechanical EngineeringUniversity of California at BerkeleyBerkeleyUSA
  4. 4.Beckman Inst.University of IllinoisUrbanaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b80173
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-07341-0
  • Online ISBN 978-3-540-45058-0
  • Series Print ISSN 1610-7438
  • Series Online ISSN 1610-742X
  • Buy this book on publisher's site