Fully Vision-based Calibration of a Hand-Eye Robot

  • Authors:
  • Christophe Garcia

  • Affiliations:
  • Institute of Computer Science—Foundation for Research and Technology-Hellas (FORTH) P.O.Box 1385, GR 711 10 Heraklion, Crete, Greece. cgarcia@csi.forth.gr

  • Venue:
  • Autonomous Robots
  • Year:
  • 1999

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Abstract

This article is concerned with calibrating ananthropomorphic two-armed robot equipped with a stereo-camera visionsystem, that is estimating the different geometric relationshipsinvolved in the model of the robot. The calibration procedure that ispresented is fully vision-based: the relationships between eachcamera and the neck and between each arm and the neck are determinedusing visual measurements. The online calculation of all therelationships involved in the model of the robot is obtained withsatisfactory precision and, above all, without expensive calibrationmechanisms. For this purpose, two new main algorithms have beendeveloped. The first one implements a non-linear optimization methodusing quaternions for camera calibration from 2D to 3D point or linecorrespondences. The second one implements a real-time camera poseestimation method based on the iterative use of a paraperspectivecamera model.