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Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement
School of Mechanical Engineering, Tongji University, 201804, Shanghai, China; Translational Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, 201619, Shanghai, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, 230026, Hefei, China.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-2533-7868
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-4482-1460
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2024 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 15, no 1, article id 1760Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 15, no 1, article id 1760
National Category
Robotics and automation
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URN: urn:nbn:se:kth:diva-344345DOI: 10.1038/s41467-024-46249-0PubMedID: 38409128Scopus ID: 2-s2.0-85186407087OAI: oai:DiVA.org:kth-344345DiVA, id: diva2:1844348
Note

QC 20240315

Available from: 2024-03-13 Created: 2024-03-13 Last updated: 2025-02-09Bibliographically approved

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Zhang, YuchongRajabi, NonaTaleb, FarzanehKragic, Danica

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