Machine Learning Based Calibration of Force Sensors for Bonnet Polishing Process

Author:

Darowski Michal,Aftab Muhammad Faisal,Walker David,Li Hongyu,Yu Guoyu,An Chenghui,Omlin Christian W.

Publisher

Elsevier BV

Reference16 articles.

1. Novel calibration methodologies for compliant, multiaxis, fiber-optic-based force/torque sensors;Al-Mai;IEEE Sensors Journal,2022

2. Biewald, L. (2020). Experiment tracking with weights and biases. URL https://www.wandb.com/. Software available from wandb.com..

3. Ultra-precision grinding;Brinksmeier;CIRP annals,2010

4. Towards data-driven material removal rate estimation in bonnet polishing. In 2023 11th International Conference on Control, Mechatronics and Automation (ICCMA);Darowski,2023

5. Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning;Lemaître;The Journal of Machine Learning Research,2017

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