Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement

Haisheng Xia, Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Qunting Yang, Danica Kragic and Zhijun Li ()
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Haisheng Xia: Tongji University
Yuchong Zhang: EECS at KTH Royal Institute of Technology Stockholm
Nona Rajabi: EECS at KTH Royal Institute of Technology Stockholm
Farzaneh Taleb: EECS at KTH Royal Institute of Technology Stockholm
Qunting Yang: University of Science and Technology of China
Danica Kragic: EECS at KTH Royal Institute of Technology Stockholm
Zhijun Li: Tongji University

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Most wearable robots such as exoskeletons and prostheses can operate with dexterity, while wearers do not perceive them as part of their bodies. In this perspective, we contend that integrating environmental, physiological, and physical information through multi-modal fusion, incorporating human-in-the-loop control, utilizing neuromuscular interface, employing flexible electronics, and acquiring and processing human-robot information with biomechatronic chips, should all be leveraged towards building the next generation of wearable robots. These technologies could improve the embodiment of wearable robots. With optimizations in mechanical structure and clinical training, the next generation of wearable robots should better facilitate human motor and sensory reconstruction and enhancement.

Date: 2024
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DOI: 10.1038/s41467-024-46249-0

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