Recently, industrial robots plays a significant role in intelligent manufacturing. Hence, it is an urgent issue to ensure the robot with the high positioning precision. To address this hot issue, a novel calibration method based on an powerful ensemble with various algorithms is proposed. This paper has two ideas: a) developing eight calibration methods to identify the kinematic parameter errors; 2) establishing an effective ensemble to search calibrated kinematic parameters. Enough experimental results show that this ensemble can achieve: 1) higher calibration accuracy for the robot; 2) model diversity; 3) strong generalization ability.
@article{arxiv.2204.06217,
title = {An Advancing Ensemble with Diversified Algorithms for Robot Arm Calibration},
author = {Zhibin Li and Shuai Li and Xin Luo},
journal= {arXiv preprint arXiv:2204.06217},
year = {2022}
}