RLNN: A force perception algorithm using reinforcement learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17874-6.pdf
Reference23 articles.
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3. Wahrburg A, Bös J, Listmann KD et al (2017) Motor-current-based estimation of cartesian contact forces and torques for robotic manipulators and its application to force control. IEEE Trans Autom Sci Eng 15(2):879–886
4. Kim MJ, Beck F, Ott C et al (2019) Model-free friction observers for flexible joint robots with torque measurements. IEEE Trans Robot 35(6):1508–1515
5. Han L, Xu W, Li B et al (2019) Collision detection and coordinated compliance control for a dual-arm robot without force/torque sensing based on momentum observer. IEEE ASME Trans Mechatron 24(5):2261–2272
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