Design and Control of a Novel Underactuated Soft Exosuit
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6489-5_46
Reference16 articles.
1. Yang, C., et al.: Current developments of robotic hip exoskeleton toward sensing, decision, and actuation: a review. Wearabl. Technol. 3, e15 (2022). https://doi.org/10.1017/wtc.2022.11, https://www.cambridge.org/core/product/identifier/S2631717622000111/type
2. Wu, X., Yuan, Y., Zhang, X., Wang, C., Xu, T., Tao, D.: Gait phase classification for a lower limb exoskeleton system based on a graph convolutional network model. IEEE Trans. Industr. Electron. 69(5), 4999–5008 (2022). https://doi.org/10.1109/TIE.2021.3082067
3. Wang, X., Guo, S., Qu, B., Bai, S.: Design and experimental verification of a hip exoskeleton based on human-machine dynamics for walking assistance. IEEE Trans. Human Mach. Syst. 53(1), 85–97 (2023). https://doi.org/10.1109/THMS.2022.3217971
4. Sposito, M., Di Natali, C., Toxiri, S., Caldwell, D.G., De Momi, E., Ortiz, J.: Exoskeleton kinematic design robustness: an assessment method to account for human variability. Wearable Technol. 1, e7 (2020). https://doi.org/10.1017/wtc.2020.7
5. Awad, L.N., et al.: A soft robotic exosuit improves walking in patients after stroke. Sci. Transl. Med. 9(400), eaai9084 (2017). https://doi.org/10.1126/scitranslmed.aai9084
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