Li, Min and Secco, Emanuele Lindo and Zheng, Yang and Dai, Chenyun and Xiong, Pengwen and Xu, Guanghua (2023) Editorial: Advances in Haptic Feedback for Neurorobotics Applications Research Topic. Frontiers in Neuroscience, 17. ISSN 1662-4548 (Accepted for Publication)
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Abstract
This Research Topic aims to highlight the most advanced achievements in motion intention decoding, haptic sensing, and haptic feedback for Neural-Machine Interface (NMI)-based neurorobotics research, which can be applied for teleoperation, human robot interaction with prosthetics, assistive and rehabilitative robots, and other relevant circumstances. The novel neural decoding methods, novel haptic feedback modalities, and new control strategies reported in this Research Topic should inspire and guide the future direction of this field.
| Item Type: | Article |
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| Additional Information and Comments: | Copyright: © 2023 Li, Secco, Zheng, Dai, Xiong and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Emanuele Secco |
| Date Deposited: | 30 Mar 2023 10:43 |
| Last Modified: | 02 May 2023 08:48 |
| URI: | https://hira.hope.ac.uk/id/eprint/3823 |
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