个人简介
➢于双悦，讲师，学术型和专业型硕士生导师；
➢工学博士，本科和硕士毕业于2138cc太阳集团，博士毕业于美国纽约城市大学，在北卡罗兰纳州立大学从事博士后研究工作，2023年入职2138CC太阳集团
➢主要研究方向为可穿戴机器人，具身智能及机电一体化系统；
➢入选2025年北京市海聚工程青年人才项目；
➢2025年被学生投票为“立德树人榜样”我心目中最喜爱的老师；
➢在Nature、Science Advances、IEEE TRO、IEEE TMECH、IEEE JBHI、IEEE RAL、自动化学报、计算机学报等期刊和IEEE IROS等会议发表论文40余篇，谷歌学术累计引用1000余次；
➢曾参与Nature Communications、Communications Engineering、IEEE TMECH、IEEE TASE、IEEE TNSRE、IEEE RAL等期刊，ICRA、IROS、ACC等会议审稿工作。
研究方向
➢可穿戴机器人机器人
➢生物机电一体化
➢人工智能
教育、科研与学术工作经历
➢2023-08至今 2138cc太阳集团,2138CC太阳集团,讲师;
➢2022-02至2023-07 North Carolina State University, Department of mechanical and aerospace engineering,博士后;
➢2018-01至2022-02 The City University of New York, City College, Department of mechanical engineering,博士(导师：Hao Su);
➢2014-09至2017-06 2138cc太阳集团,控制科学与工程,硕士(导师：左国玉);
➢2013.09至2016.06 2138cc太阳集团都柏林学院,外教助教;
➢2010-09至2014-06 2138cc太阳集团,自动化,学士。
荣誉获奖
➢2023，全国人工智能应用场景创新挑战赛全国总决赛二等奖;
➢2023，Best Mechatronics Paper Award, ASME DSCD;
➢2021，Best Student Paper Award, ASME DSCD;
➢2020，Best Student Paper Finalist (2020 IEEE/ASME AIM);
➢2019，Best Poster Award（2018中国旅美科协年会）
代表性研究成果
➢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.
➢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.
➢Zuo, G., Wu, Q., Gao, W., Li, C., Sun, L., &Yu, S. (2025). Accurate and Real-time Hierarchical Ensemble Network for Activity Classification in Construction Worker.IEEE Journal of Biomedical and Health Informatics, 29(8): 5479-5492..
➢Yu, S., Liu, L., Zhang, S., Di Lallo, A., Zhu, J., Wu, Q., ... & Su, H. (2025). Controlling negative and positive power for efficiency enhancement and muscle strain mitigation during squatting with a portable knee exoskeleton. Annals of Biomedical Engineering, 53(6), 1344-1358.
➢Di Lallo, A.,Yu, S., Slightam, J. E., Gu, G. X., Yin, J., & Su, H. (2024). Untethered Fluidic Engine for High‐Force Soft Wearable Robots. Advanced Intelligent Systems, 6(11), 2400171.
➢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.
➢Zhu, J., Jiao, C., Dominguez, I.,Yu, S., & Su, H. (2022). Design and backdrivability modeling of a portable high torque robotic knee prosthesis with intrinsic compliance for agile activities. IEEE/ASME Transactions on Mechatronics, 27(4), 1837-1845.
➢Huang, T. H., Zhang, S.,Yu, S., MacLean, M. K., Zhu, J., Di Lallo, A., ... & Su, H. (2022). Modeling and stiffness-based continuous torque control of lightweight quasi-direct-drive knee exoskeletons for versatile walking assistance. IEEE Transactions on Robotics, 38(3), 1442-1459.
➢Chen, S., Stevenson, D. T.,Yu, S., Mioskowska, M., Yi, J., Su, H., & Trkov, M. (2021). Wearable knee assistive devices for kneeling tasks in construction. IEEE/ASME Transactions on Mechatronics, 26(4), 1989-1996.
➢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.
