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Vision-based robot control

  • Peter I. Corke
  • Gregory D. Hager
Conference paper
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 230)

Abstract

The topic of vision-based robot control has been investigated for more than 20 years and over that time several major, and well understood, approaches have evolved. This chapter describes the fundamental principles of these methods, and discusses their relative strengths and weaknesses. The discussion emphasizes the interdependence of vision and control, for example, the vision system provides input to the robot control loop, but the vision system may utilize control techniques to track the target. We also discuss issues such as dynamic performance, approaches to image feature extraction, the impact of current technology trends, future applications and research challenges.

Keywords

Visual Servo Task Space IEEE Trans Robot Image Feature Extraction Laser Rangefinder 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1998

Authors and Affiliations

  • Peter I. Corke
    • 1
  • Gregory D. Hager
    • 2
  1. 1.CSIRO Manufacturing Science and TechnologyAustralia
  2. 2.Department of Computer ScienceYale UniversityUSA

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