Unknown

Dataset Information

Methods for Simultaneous Robot-World-Hand-Eye Calibration: A Comparative Study.


ABSTRACT: In this paper, we propose two novel methods for robot-world-hand-eye calibration and provide a comparative analysis against six state-of-the-art methods. We examine the calibration problem from two alternative geometrical interpretations, called 'hand-eye' and 'robot-world-hand-eye', respectively. The study analyses the effects of specifying the objective function as pose error or reprojection error minimization problem. We provide three real and three simulated datasets with rendered images as part of the study. In addition, we propose a robotic arm error modeling approach to be used along with the simulated datasets for generating a realistic response. The tests on simulated data are performed in both ideal cases and with pseudo-realistic robotic arm pose and visual noise. Our methods sh

SUBMITTER: Ali I 

PROVIDER: S-EPMC6631330 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature