Robot Vision

1. Front Matter

   Pages i-xi

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2. Reviews

   1. Front Matter

      Pages 1-1

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   2. Second Generation Robotics

      • Alan Pugh

      Pages 3-10

   3. Computer Vision in Industry

      • Lothar Rossol

      Pages 11-18

3. Visual Processing Techniques

   1. Front Matter

      Pages 19-19

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   2. Processing of Binary Images

      • P. W. Kitchin, A. Pugh

      Pages 21-42

   3. Recognising and Locating Partially Visible Objects: The Local-Feature-Focus Method

      • R. C. Bolles, R. A. Cain

      Pages 43-82

   4. The Coupling of a workpiece Recognition System with an Industrial Robot

      • G. Nehr, P. Martini

      Pages 83-96

   5. Evaluating Vision System Performance

      • C. A. Rosen, G. J. Gleason

      Pages 97-103

4. Research

   1. Front Matter

      Pages 105-105

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   2. Adaptive Visual Servo Control of Robots

      • Arthur C. Sanderson, Lee E. Weiss

      Pages 107-116

   3. Use of a TV Camera System in Closed-Loop Position Control of Mechanisms

      • P. Y. Coulon, M. Nougaret

      Pages 117-127

   4. Towards a Flexible Vision System

      • O. D. Faugeras, F. Germain, G. Kryze, J. D. Boissonnat, M. Herbert, J. Ponce et al.

      Pages 129-142

   5. The Use of Taper Light Beam for Object Recognition

      • Dai Wei, M. Gini

      Pages 143-153

5. Developments — Weld Guidance

   1. Front Matter

      Pages 155-155

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   2. Present Industrial Use of Vision Sensors for Robot Guidance

      • Philippe Villers

      Pages 157-168

   3. A Visual Sensor for Arc-Welding Robots

      • Takao Bamba, Hisaichi Maruyama, Eiichi Ohno, Yasunori Shiga

      Pages 169-177

   4. Vision Guided Robot System for Arc Welding

      • Ichiro Masaki, Maurice J. Dunne, Hideo Toda

      Pages 179-185

   5. Progess in Visual Feedback for Robot Arc-Welding of Thin Sheet Steel

      • W. F. Clocksin, P. G. Davey, C. G. Morgan, A. R. Vidler

      Pages 187-198

6. Developments — Assembly/Part Presentation

   1. Front Matter

      Pages 199-199

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Over the past five years robot vision has emerged as a subject area with its own identity. A text based on the proceedings of the Symposium on Computer Vision and Sensor-based Robots held at the General Motors Research Laboratories, Warren, Michigan in 1978, was published by Plenum Press in 1979. This book, edited by George G. Dodd and Lothar Rosso!, probably represented the first identifiable book covering some aspects of robot vision. The subject of robot vision and sensory controls (RoViSeC) occupied an entire international conference held in the Hilton Hotel in Stratford, England in May 1981. This was followed by a second RoViSeC held in Stuttgart, Germany in November 1982. The large attendance at the Stratford conference and the obvious interest in the subject of robot vision at international robot meetings, provides the stimulus for this current collection of papers. Users and researchers entering the field of robot vision for the first time will encounter a bewildering array of publications on all aspects of computer vision of which robot vision forms a part. It is the grey area dividing the different aspects of computer vision which is not easy to identify. Even those involved in research sometimes find difficulty in separating the essential differences between vision for automated inspection and vision for robot applications. Both of these are to some extent applications of pattern recognition with the underlying philosophy of each defining the techniques used.

• Bildverarbeitung
• Industrieroboter
• Motor
• Prozessüberwachung
• Sensor
• Vision
• computer
• computer vision
• control
• robot
• Engineering Economics

• University of Hull, Hull, UK

  Alan Pugh

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