Based on machine vision robot zero and the integration of hand-eye calibration method

Enguo Wang; Xin Feng; Chengzhi Su; Chengshuai Ma

doi:10.1117/12.3011502

1 December 2023 Based on machine vision robot zero and the integration of hand-eye calibration method

Enguo Wang, Xin Feng, Chengzhi Su, Chengshuai Ma

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129402O (2023) https://doi.org/10.1117/12.3011502
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

In order to improve the absolute positioning accuracy of the robot, a robot -based robot zero and hand -eye integration calibration method is proposed. By collecting several robotic joint corners, end position data data, and cooperative target position data under the camera coordinate system, use the string function to adjust the input, and then based on the gradient drop method, obtain the results of the robot's eye and eye calibration. Errors and correction of their parameters, thereby improving the absolute positioning accuracy of the robot. The experimental results showed that the maximum error of the absolute positioning accuracy of the robot was reduced from 6.298mm to 3.149mm, and the average error dropped from 3.745mm to 1.899mm. It indicates that this method can improve the absolute positioning accuracy of the robot under low cost conditions.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Enguo Wang, Xin Feng, Chengzhi Su, and Chengshuai Ma "Based on machine vision robot zero and the integration of hand-eye calibration method", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129402O (1 December 2023); https://doi.org/10.1117/12.3011502

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