Assistive robotic exoskeleton using recurrent neural networks for decision taking for the robust trajectory tracking

作者：

Highlights：

• AI and automatic control have improved the performance and accuracy of exoskeletons.

• A combination of an RNN and ANFTSMC strategy is employed.

• Exoskeletons can help patients with syndromes in which thick motricity exists.

摘要

•AI and automatic control have improved the performance and accuracy of exoskeletons.•A combination of an RNN and ANFTSMC strategy is employed.•Exoskeletons can help patients with syndromes in which thick motricity exists.

论文关键词：Exoskeleton,Recurrent neural network,Adaptive non-singular fast terminal sliding mode controller,Electromyogram,Signal classifier

论文评审过程：Received 22 March 2021, Revised 27 December 2021, Accepted 27 December 2021, Available online 15 January 2022, Version of Record 18 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116482