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Robotic direct grinding for unknown workpiece contour based on adaptive constant force control and human–robot collaboration

Wei Zhao (Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China)
Juliang Xiao (Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China)
Sijiang Liu (Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China)
Saixiong Dou (Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China)
Haitao Liu (Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China)

Industrial Robot

ISSN: 0143-991X

Article publication date: 3 October 2022

Issue publication date: 13 April 2023

307

Abstract

Purpose

In customized production such as plate workpiece grinding, because of the diversity of the workpiece shapes and the positional/orientational clamping errors, great efforts are taken to repeatedly calibrate and program the robots. To change this situation, the purpose of this study is to propose a method of robotic direct grinding for unknown workpiece contour based on adaptive constant force control and human–robot collaboration.

Design/methodology/approach

First, an adaptive constant force controller based on stiffness estimation is proposed, which can distinguish the contact of the human hand and the unknown workpiece contour. Second, a normal vector search algorithm is developed to calculate the normal vector of the unknown workpiece contour in real-time. Finally, the force and position are controlled in the calculated normal and tangential directions to realize the direct grinding.

Findings

The method considers the disturbance of the tangential grinding force and the friction, so the robot can track and grind the workpiece contour simultaneously. The experiments prove that the method can ensure the force error and the normal vector calculating error within 0.3 N and 4°. This human–robot collaboration pattern improves the convenience of the grinding process.

Research limitations/implications

The proposed method realizes constant force grinding of unknown workpiece contour in real-time and ensures the grinding consistency. In addition, combined with human–robot collaboration, the method saves the time spent in repeated calibration and programming.

Originality/value

Compared with other related research, this method has better accuracy and anti-disturbance capability of force control and normal vector calculation during the actual grinding process.

Keywords

Acknowledgements

This work is partially supported by National Key R&D program of China (Grant No. 2019YFA0709004), National Natural Science Foundation of China (grants 52175025 and 51721003).

Citation

Zhao, W., Xiao, J., Liu, S., Dou, S. and Liu, H. (2023), "Robotic direct grinding for unknown workpiece contour based on adaptive constant force control and human–robot collaboration", Industrial Robot, Vol. 50 No. 3, pp. 376-384. https://doi.org/10.1108/IR-01-2022-0021

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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