Hand/eye calibration of a robot arm with a 3D visual sensor

Min Young Kim, Hyung Suck Cho, Jae Hoon Kim

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Hand/eye calibration is useful in many industrial applications, for instance, grasping objects or reconstructing 3D scenes. The calibration of robot systems with a visual sensor is essentially the calibration of a robot, a sensor, and hand-to-eye relation. This paper describes a new technique for computing 3D position and orientation of a 3D visual sensor system relative to the end effector of a robot manipulator in an eye-on-hand robot configuration. When the position of feature points on a calibration target in sensor coordinates viewed at each robot movement, and the position of these points in world coordinates and the relative robot movement between two robot motions are known, a homogeneous equation of the form AX = XB can be derived. To obtain the unique solution of X, it is necessary to make two relative robot arm movements and to form a system of two equations of the form: A1X = XB1and A2X = XB2. In this paper, a closed-form solution of this calibration system is derived, and the constraints for existence of a unique solution are described in detail. Test results obtained through a series of simulation show that this technique is a simple, efficient, and accurate method for hand/eye calibration.

Original languageEnglish
Pages (from-to)123-134
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4564
DOIs
StatePublished - 2001
EventOptomechatronic Systems II - Newton, United States
Duration: 29 Oct 200131 Oct 2001

Keywords

  • 3D visual sensor
  • Consecutive robot motion
  • Hand/Eye Calibration
  • Stereo vision

Fingerprint

Dive into the research topics of 'Hand/eye calibration of a robot arm with a 3D visual sensor'. Together they form a unique fingerprint.

Cite this