Title

A New Identification Jacobian For Robotic Hand/Eye Calibration

Abstract

Hand/eye calibration is the process of identifying the un- known 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 band/eye calibration problem. Observability conditions of the pose error parameters in the unknown hand/eye transformation are also provided based on this Identification Jacobian. © 1994 IEEE

Publication Date

1-1-1994

Publication Title

IEEE Transactions on Systems, Man and Cybernetics

Volume

24

Issue

8

Number of Pages

1284-1287

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/21.299711

Socpus ID

0028483736 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028483736

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