Computer Vision and Sensor-Based Robots

  • George G. Dodd
  • Lothar Rossol

Table of contents

  1. Front Matter
    Pages i-ix
  2. Fundamental Issues in Vision and Robotics

    1. Front Matter
      Pages 1-1
    2. R. L. Paul, S. Y. Nof
      Pages 23-50
    3. R. L. Gregory
      Pages 51-68
  3. Vision and Robot Systems

    1. Front Matter
      Pages 79-79
    2. T. Uno, S. Ikeda, H. Ueda, M. Ejiri, T. Tokunaga
      Pages 101-116
    3. R. G. Abraham
      Pages 117-140
    4. M. Salmon, A. d’Auria
      Pages 153-166
  4. Future Vision Systems

    1. Front Matter
      Pages 167-167
    2. D. R. Reddy, R. W. Hon
      Pages 169-186
    3. Y. Shirai
      Pages 187-205
    4. A. D. Gara
      Pages 207-237
    5. J. M. Tenenbaum, H. G. Barrow, R. C. Bolles
      Pages 239-259
  5. Future Robot Systems

    1. Front Matter
      Pages 261-261
    2. J. F. Engelberger
      Pages 263-273
    3. J. L. Nevins, D. E. Whitney
      Pages 275-321

About this book

Introduction

The goal ofthe symposium, "Computer Vision and Sensor-Based Robots," held at the General Motors Research Laboratories on September 2S and 26, 1978, was to stimulate a closer interaction between people working in diverse areas and to discuss fundamental issues related to vision and robotics. This book contains the papers and general discussions of that symposium, the 22nd in an annual series covering different technical disciplines that are timely and of interest to General Motors as well as the technical community at large. The subject of this symposium remains timely because the cost of computer vision hardware continues to drop and there is increasing use of robots in manufacturing applications. Current industrial applications of computer vision range from simple systems that measure or compare to sophisticated systems for part location determination and inspection. Almost all industrial robots today work with known parts in known posi­ tions, and we are just now beginning to see the emergence of programmable automa­ tion in which the robot can react to its environment when stimulated by visual and force-touch sensor inputs. As discussed in the symposium, future advances will depend largely on research now underway in several key areas. Development of vision systems that can meet industrial speed and resolution requirements with a sense of depth and color is a necessary step.

Keywords

Hardware Processing artificial intelligence computer computer architecture computer vision control image processing industrial robot machine vision performance robot robotics

Editors and affiliations

  • George G. Dodd
    • 1
  • Lothar Rossol
    • 1
  1. 1.General Motors Research LaboratoriesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-3027-1
  • Copyright Information Springer-Verlag US 1979
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-3029-5
  • Online ISBN 978-1-4613-3027-1
  • About this book