Neural Learning Enhanced Variable Admittance Control for Human–Robot Collaboration

In this paper, we propose a novel strategy for human-robot impedance mapping to realize an effective execution of human-robot collaboration. The endpoint stiffness of the human arm impedance is estimated according to the configurations of the human arm and the muscle activation levels of the upper a...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Xiongjun Chen, Ning Wang, Hong Cheng, Chenguang Yang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2020-01-01
Sarja:	IEEE Access
Aiheet:	Impedance estimated model variable admittance control physical human-robot collaboration neural networks
Linkit:	https://ieeexplore.ieee.org/document/8967007/
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