代表性研究成果
[1] Luo, S., Jiang, M., Zhang, S., Zhu, J.,Yu, S., Dominguez Silva, I., ... & Su, H. (2024). Experiment-free exoskeleton assistance via learning in simulation.Nature, 630(8016), 353-359.
[2] Li, Y.,Yu, S., Qing, H., Hong, Y., Zhao, Y., Qi, F., ... & Yin, J. (2024). Reprogrammable and reconfigurable mechanical computing metastructures with stable and high-density memory.Science Advances, 10(26), eado6476.
[3]Yu, S., Yang, J., Huang, T. H., Zhu, J., Visco, C. J., Hameed, F., ... & Su, H. (2023). Artificial neural network-based activities classification, gait phase estimation, and prediction.Annals of biomedical engineering, 51(7), 1471-1484.
[4]Yu, S., Huang, T. H., Yang, X., Jiao, C., Yang, J., Chen, Y., ... & Su, H. (2020). Quasi-direct drive actuation for a lightweight hip exoskeleton with high backdrivability and high bandwidth.IEEE/ASME Transactions on Mechatronics, 25(4), 1794-1802.
[5]Yu, S., Huang, T. H., Wang, D., Lynn, B., Sayd, D., Silivanov, V., ... & Su, H. (2019). Design and control of a high-torque and highly backdrivable hybrid soft exoskeleton for knee injury prevention during squatting.IEEE Robotics and Automation Letters, 4(4), 4579-4586.