Title

A New Identification Jacobian For Robotic Hand Eye Calibration

Authors

Authors

H. Q. Zhuang;Z. H. Qu

Comments

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Abbreviated Journal Title

IEEE Trans. Syst. Man Cybern.

Keywords

HOMOGENEOUS TRANSFORM EQUATIONS; AX = XB; SENSOR; ORIENTATION; Computer Science, Cybernetics; Engineering, Electrical & Electronic

Abstract

Hand/eye calibration is the process of identifying the unknown position and orientation of the camera frame with respect to the robot hand frame, when the camera is rigidly mounted on the robot hand. While computationally slightly more involved, one-stage iterative algorithms have two distinguished advantages over traditional two-stage linear approaches: (a) They are less sensitive to noise, and (b) they can handle cases in which the camera orientation information is not available. A more compact and lower dimensional Identification Jacobian is derived in this correspondence. The Jacobian, which relates measurement residuals to pose error parameters of the unknown hand/eye transformation, is a crucial component of one-stage iterative algorithms. The derivation procedure for the new Jacobian is straightforward and simple, owing to an alternative mathematical formulation of the hand/eye calibration problem. Observability conditions of the pose error parameters in the unknown hand/eye transformation are also provided based on this Identification Jacobian.

Journal Title

Ieee Transactions on Systems Man and Cybernetics

Volume

24

Issue/Number

8

Publication Date

1-1-1995

Document Type

Letter

Language

English

First Page

1284

Last Page

1287

WOS Identifier

WOS:A1994PB47400017

ISSN

0018-9472

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