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Robot sensors and transducers

  • Authors
  • S. R. Ruocco

Table of contents

  1. Front Matter
    Pages i-xi
  2. Introduction

    1. S. R. Ruocco
      Pages 1-9
  3. Transducers

    1. Front Matter
      Pages 11-11
    2. S. R. Ruocco
      Pages 12-26
    3. S. R. Ruocco
      Pages 27-52
    4. S. R. Ruocco
      Pages 53-68
    5. S. R. Ruocco
      Pages 69-78
  4. Sensors

    1. Front Matter
      Pages 79-79
    2. S. R. Ruocco
      Pages 80-112
    3. S. R. Ruocco
      Pages 113-120
  5. Image Processing

    1. Front Matter
      Pages 121-121
    2. S. R. Ruocco
      Pages 122-154
  6. Back Matter
    Pages 155-166

About this book

Introduction

The use of sensor's with machines, whether to control them continuously or to inspect and verify their operation, can be highly cost-effective in particular areas of industrial automation. Examples of such areas include sensing systems to monitor tool condition, force and torque sensing for robot assembly systems, vision-based automatic inspection, and tracking sensor's for robot arc welding and seam sealing. Many think these will be the basis of an important future industry. So far, design of sensor systems to meet these needs has been (in the interest of cheapness) rather ad hoc and carefully tailored to the application both as to the transducer hardware and the associated processing software. There are now, however, encouraging signs of commonality emerging between different sensor application areas. For instance, many commercial vision systems and some tactile systems just emerging from research are able to use more or less standardized techniques for two-dimensional image processing and shape representation. Structured-light triangulation systems can be applied with relatively minor hardware and software variations to measure three-dimensional profiles of objects as diverse as individual soldered joints, body pressings, and weldments. Sensors make it possible for machines to recover 'sensibly' from errors, and standard software proce­ dures such as expert systems can now be applied to facilitate this.

Keywords

Vision Sensor automation image processing robot robot vision sensing sensor transducer

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-6872-4
  • Copyright Information Springer Science+Business Media B.V. 1987
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-011-6874-8
  • Online ISBN 978-94-011-6872-4
  • Buy this book on publisher's site