UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Hand-eye calibration with a remote centre of motion

Pachtrachai, K; Vasconcelos, F; Dwyer, G; Hailes, S; Stoyanov, D; (2019) Hand-eye calibration with a remote centre of motion. IEEE Robotics and Automation Letters , 4 (4) pp. 3121-3128. 10.1109/lra.2019.2924845. Green open access

[thumbnail of Pachtrachai_Hand-eye calibration with a remote centre of motion_AAM.pdf]
Preview
Text
Pachtrachai_Hand-eye calibration with a remote centre of motion_AAM.pdf - Accepted Version

Download (4MB) | Preview

Abstract

In the eye-in-hand robot configuration, hand-eye calibration plays a vital role in completing the link between the robot and camera coordinate systems. Calibration algorithms are mature and provide accurate transformation estimations for an effective camera-robot link but rely on a sufficiently wide range of calibration data to avoid errors and degenerate configurations. This can be difficult in the context of keyhole surgical robots because they are mechanically constrained to move around a remote centre of motion (RCM) which is located at the trocar port. The trocar limits the range of feasible calibration poses that can be obtained and results in ill-conditioned hand-eye constraints. In this letter, we propose a new approach to deal with this problem by incorporating the RCM constraints into the hand-eye formulation. We show that this not only avoids ill-conditioned constraints but is also more accurate than classic hand-eye calibration with a free 6DoF motion, due to solving simpler equations that take advantage of the reduced DoF. We validate our method using simulation to test numerical stability and a physical implementation on an RCM constrained KUKA LBR iiwa 14 R820 equipped with a NanEye stereo camera.

Type: Article
Title: Hand-eye calibration with a remote centre of motion
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/lra.2019.2924845
Publisher version: https://doi.org/10.1109/LRA.2019.2924845
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Calibration and Identification, Formal Methods in Robotics and Automation, Computer Vision for Medical Robotics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10077198
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item