Robotic normal constant force polishing of unknown-model workpieces using variable impedance control

Maintaining a constant normal contact force during the polishing process is essential for consistent material removal. However, achieving automated robotic polishing for workpieces without prior models necessitates considerable flexibility in both position and force control, which presents significant challenges. To address this issue, the force tracking error is examined, revealing that force fluctuations primarily result from the effects of posture adjustments on the end-effector position and workpiece perturbations. Accordingly, a robot attitude smoothing scheme based on contact moments and quaternion interpolation is proposed. Furthermore, the quadratic programming variable impedance control method (QPIC) is introduced, transforming the variable impedance design problem into a constrained optimization problem. This approach adaptively adjusts the impedance parameters to accommodate workpiece perturbations. Finally, experiments on robotic metal polishing demonstrate that this framework can effectively adapt to unknown-model workpieces profiles and achieve high-quality surfaces. • This paper proposes an robot unknown-model workpiece polishing method. • Novel damping strategy adaptively suppresses overshoots and oscillations. • Variable impedance control effectively mitigates workpiece disturbance.

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Publication Details

Journal
Journal of Manufacturing Processes
Published
2025-09-10
DOI
https://doi.org/10.1016/j.jmapro.2025.08.034
Citations
2
Primary Topic
Advanced Surface Polishing Techniques
Type
article
Field-Weighted Citation Impact
1.35
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article

Robotic normal constant force polishing of unknown-model workpieces using variable impedance control

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2 citations
Journal of Manufacturing Processes
Advanced Surface Polishing Techniques
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article

Robotic normal constant force polishing of unknown-model workpieces using variable impedance control

Yuxiang Sun, Lifu Gao, Man Jiang, Ling-Xiao Li, Bohan Lu
article en
2 citations

Abstract

Maintaining a constant normal contact force during the polishing process is essential for consistent material removal. However, achieving automated robotic polishing for workpieces without prior models necessitates considerable flexibility in both position and force control, which presents significant challenges. To address this issue, the force tracking error is examined, revealing that force fluctuations primarily result from the effects of posture adjustments on the end-effector position and workpiece perturbations. Accordingly, a robot attitude smoothing scheme based on contact moments and quaternion interpolation is proposed. Furthermore, the quadratic programming variable impedance control method (QPIC) is introduced, transforming the variable impedance design problem into a constrained optimization problem. This approach adaptively adjusts the impedance parameters to accommodate workpiece perturbations. Finally, experiments on robotic metal polishing demonstrate that this framework can effectively adapt to unknown-model workpieces profiles and achieve high-quality surfaces. • This paper proposes an robot unknown-model workpiece polishing method. • Novel damping strategy adaptively suppresses overshoots and oscillations. • Variable impedance control effectively mitigates workpiece disturbance.

Journal of Manufacturing ProcessesVol. 153
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Institute of Intelligent Machines (CN)
Openalex Percentile: Top 18%
Advanced Surface Polishing Techniques
1.35
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