Joint Stiffness Tuning of Exoskeleton Robot H2 by Tacit Learning

Author:

Shimoda Shingo,Costa Álvaro,Asin-Prieto Guillermo,Okajima Shotaro,Ináẽz Eduardo,Hasegawa Yasuhisa,Azorín Jose M.,Pons Jose L.,Moreno Juan C.

Publisher

Springer International Publishing

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Haptic Adaptive Feedback to Promote Motor Learning With a Robotic Ankle Exoskeleton Integrated With a Video Game;Frontiers in Bioengineering and Biotechnology;2020-02-21

2. Theoretical approach for designing the rehabilitation robot controller;Advanced Robotics;2019-07-05

3. Tacit adaptability on submaximal force control for ankle robotic training;2019 Wearable Robotics Association Conference (WearRAcon);2019-03

4. Feasibility of Submaximal Force Control Training for Robot–Mediated Therapy After Stroke;Converging Clinical and Engineering Research on Neurorehabilitation III;2018-10-16

5. Generation of Human-Like Movement from Symbolized Information;Frontiers in Neurorobotics;2018-07-17

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