Admittance Control for Robot Polishing Force Tracking Based on Reinforcement Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6480-2_28
Reference17 articles.
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4. Xu, Z., Li, S., Zhou, X., Cheng, T.: Dynamic neural networks based adaptive admittance control for redundant manipulators with model uncertainties. Neurocomputing 357, 271–281 (2019). https://doi.org/10.1016/j.neucom.2019.04.069
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