Table of contents

  1. Front Matter
  2. G. Hirzinger, K. Arbter, B. Brunner, R. Koeppe
    Pages 3-21
  3. Hirochika Inoue
    Pages 22-32
  4. Makoto Kaneko, Nophawit Thaiprasert, Toshio Tsuji
    Pages 34-46
  5. G. Hirzinger, J. Butterfaß, S. Knoch, H. Liu
    Pages 47-55
  6. Parris S. Wellman, William J. Peine, Gregg Favalora, Robert D. Howe
    Pages 56-66
  7. Susanna Leveroni, Vinay Shah, Kenneth Salisbury
    Pages 67-78
  8. Atsushi Konno, Koichi Nishiwaki, Ryo Furukawa, Mitsunori Tada, Koichi Nagashima, Masayuki Inaba et al.
    Pages 79-90
  9. F. Caccavale, C. Natale, B. Siciliano, L. Villani
    Pages 91-104
  10. Darrell Nakawaki, Sangwan Joo, Fumio Miyazaki
    Pages 105-115
  11. Tetsuya Morizono, Sadao Kawamura
    Pages 116-127
  12. Roy Featherstone, Stef Sonck, Oussama Khatib
    Pages 128-139
  13. Gilles Foulon, Jean-Yves Fourquet, Marc Renaud
    Pages 140-151
  14. Tsuneo Yoshikawa, Hitoshi Ueda
    Pages 154-166
  15. Monica Bordegoni, Umberto Cugini, Caterina Rizzi
    Pages 167-172
  16. R. E. Ellis, P. Zion, C. Y. Tso
    Pages 173-182
  17. A. Hait, T. Siméon, M. Taïx
    Pages 216-226

About these proceedings

Introduction

Experts in the field of experimental robotics come together in this book to share the results of their most recent research projects. Both theoretical ideas and advances with practical applications are discussed, In particular, state-of-the-art research in fascinating areas such as underwater environments, civil engineering, space and medicine is focused upon. Research aimed at improving methodologies and techniques in robot control, programming and planning shows the way to improve the use of robots for complex problems. Techniques for human-robot co-operation are also looked at - there are a number of areas in which combining the intelligence and adaptability of humans and the accuracy and reliability of robots can have remarkable results. This book will enable readers to update their knowledge of experimental robotics and find out, particularly, about the research that has been going on over the last two years and the research that is likely to continue in the future.

Keywords

Tracking Virtual Reality control evolution humanoid robot knowledge learning modeling navigation optimal control proving robot robotics sensor simulation

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0112945
  • Copyright Information Springer-Verlag 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-76218-8
  • Online ISBN 978-3-540-40920-5
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • About this book