2015.09-2021.09，上海交通大学，机械工程，博士
2011.09-2015.06，合肥工业大学，机械设计制造及其自动化，学士

2024.11至今，上海交通大学元知机器人研究院，助理研究员
2021.09-2024.10，上海交通大学机械与动力工程学院，博士后

1. 生机电一体化机器人
2. 神经交互技术
3. 机器人智能体与灵巧操作（AI for Robotics）
4. 人工智能赋能神经接口（AI for Neural Interface）

欢迎具有机械/电子工程、计算机与人工智能、自动化等背景的本科生、硕士生和博士生联系交流。

课题组欢迎有志于机器人领域研究的本科生进组科研实习，长期有效，欢迎联系。

26级研究生招生：名额已确定。

27级研究生招生：2027年9月入学，硕士名额2名，开放申请中，研究方向AI for Robotics，神经交互与生机电一体化机器人。

欢迎感兴趣的同学咨询！

1. Guest Editor of Special Issue, Intelligent EMG Technologies in Neural Decoding, Interfacing, and Medicine, for Journal of Electromyography and Kinesiology

2. 期刊审稿人：担任IEEE JBHI，IEEE TNSRE，Knowledge-based Systems，Cyborg and Bionic Systems，BSPC，JNE等期刊审稿人。

主持项目：
1. 国家自然科学基金面上项目，面向连续运动解码的运动神经元协同机制及神经接口研究，主持，2026-2029
2. 国家自然科学基金青年科学基金项目，融合肌电多维信息的腕-手连续运动同步解码及生机接口研究，主持，2023-2025
3. 上海交通大学新进青年教师启动计划，神经假肢系统集成与截肢患者功能验证，主持，2024-2027
4. 中国博士后科学基金特别资助（站中），面向连续运动解码的神经信号驱动肌骨模型与人机接口研究，主持，2023-2024
5. 中国博士后科学基金面上项目，肌电多维信息驱动的腕-手连续运动同步解码生机接口，主持，2022-2024
6. 上海市“超级博士后”激励计划项目，基于神经信号驱动肌骨模型的连续运动解码接口研究，主持，2022-2023
7. 上海交通大学“交大之星”计划医工交叉研究基金青年项目A，可视化胃管装置研制，工学负责人，2025-2027

参与项目：
1. 上海市"新一代信息技术"专项重点项目，“机器人智能体上肢系统设计与具身智能融合技术研发”，参与，2024-2026
2. 国家自然科学基金面上项目，“面向上臂灵巧假肢自治的多模态感知与双向神经接口研究”，参与，2024-2027
3. 国家自然科学基金面上项目，“面向连续运动解码的神经信号驱动肌骨模型研究”，参与，2022-2025
4. 国家自然科学基金重大研究计划集成项目，“面向肢体运动功能重建的生机电一体化机器人技术”，参与，2020-2024
5. 科技部重点研发计划智能机器人专项，“运动-感觉双向神经通路重建”，参与，2019-2022
6. 上海市基础研究重大项目，“神经信号测量、解码与神经交互基础研究”，参与，2018-2021
7. 国家自然科学基金国际重点合作项目，“类生物体灵巧假肢及双向生机接口”，参与，2017-2021

在神经交互、生机电一体化机器人领域发表多篇SCI论文，包括Nature Biomedical Engineering, Nature Communications, Cyborg and Bionic Systems, IEEE JBHI，IEEE TIE，IEEE TNSRE和IEEE TBME等，以及领域内多篇国际会议论文。

（* indicates corresponding author, # indicates co-first authorship.）

※ Peer-reviewed Journal Papers：

【2026】

25. Li, Y.#, Yu, Y.#*, Kang, Y., Yin, Z., Ma, S., ... , Farina, D.*, & Zhu, X.* (2026). In vivo ultrasound–MRI 3D mapping of neuromuscular compartments reveals the neuromechanical architecture of finger-specific control. Nature Communications. (Article in Press)

24. Zhang, N.#*, Yang, X.#, Zong, Z., Yu, Y., Zhao, Y., Bian, R., Jiang, C., Shen, F., Zhu, X.*, & Gu, G.* (2026). A high-dexterity soft neuroprosthetic hand for daily activities. Nature Communications. https://doi.org/10.1038/s41467-026-75105-6.

23. Zhou, Z., Yu, Y.*, Xu, Y., & Sheng, X*. (2026). Robust decomposition of surface EMG signals via lightweight deep learning-based adaptation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 34, 2394-2404. (Invited Presentation for CBS2026)

22. Zhou, Z., Yu, Y.*, Chen, C., Xu, Y., & Sheng, X.* (2026). Online robust decomposition of surface electromyography signals via peel-off deep learning. Biomedical Signal Processing and Control, 116, 109491.

【2025】
21. Zhao, J., Yu, Y.*, Sheng, X., & Zhu, X.* (2025). Toward load-robust motion estimation using an EMG-driven state-space model with a variable stiffness musculoskeletal model. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 33, 3171-3180.
20. Yu, Y., Xu, Y., Zhao, J., Li, D., Guo, W., Sheng, X.*, & Zhu, X. (2025). Simultaneous decoding of wrist angles and grasp forces based on channel-wise cumulative spike trains. IEEE Journal of Biomedical and Health Informatics, 30(1), 292-302.
19. Guo, W.*, Zhao, Z., Zhou, Z., Fang, Y., Yu, Y., & Sheng, X.* (2025). Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition. Scientific Data, 12(1), 445.
18. Yu, Y., Zhou, Z., Xu, Y., Chen, C., Guo, W., & Sheng, X.* (2025). Toward hand gesture recognition using a channel-wise cumulative spike train image-driven model. Cyborg and Bionic Systems, 6:2019, DOI:10.34133/cbsystems.0219. (IF=18.1)

【2024】
17. Chen, C., Zhao, J., Yu, Y., Sheng, X., & Zhu, X.* (2024). Wrist torque estimation by combining motor unit discharges with musculoskeletal model. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 4249-4259.
16. Li, D., Kang, P., Yu, Y., & Shull, P. B.* (2024). Graph-driven simultaneous and proportional estimation of wrist angle and grasp force via high-density EMG. IEEE Journal of Biomedical and Health Informatics, 28(5), 2723-2732.
15. Xu, Y., Yu, Y., Zhao, Z., & Sheng, X.* (2024). Decoding multi-DoF movements using a CST-based force generation model with single-DoF training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 974-982.

【2023】
14. Xu, Y., Yu, Y., Zhao, Z., Chen, C., & Sheng, X.* (2023). Cumulative spike train estimation for muscle excitation assessment from surface EMG using spatial spike detection. IEEE Journal of Biomedical and Health Informatics, 27(11), 5335-5344.
13. Zhao, J., Yu, Y.*, Sheng, X., & Zhu, X.* (2023). Consistent control information driven musculoskeletal model for multiday myoelectric control. Journal of Neural Engineering, 20(5), 056007.
12. Chen, C., Yu, Y., Sheng, X., Meng, J., & Zhu, X.* (2023). Real-time hand gesture recognition by decoding motor unit discharges across multiple motor tasks from surface electromyography. IEEE Transactions on Biomedical Engineering, 70(7), 2058-2068.
11. Chen, C., Yu, Y., Sheng, X., Meng, J., & Zhu, X.* (2023). Mapping individual motor unit activity to continuous three-DoF wrist torques: perspectives for myoelectric control. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 1807-1815.
10. Gu, G.*#, Zhang, N.#, Xu, H., Lin, S., Yu, Y., Chai, G., Ge, L., Yang, H., Shao, Q., Sheng X., Zhu, X.*#, & Zhao, X.*# (2023). A soft neuroprosthetic hand providing simultaneous myoelectric control and tactile feedback. Nature Biomedical Engineering, 7(4), 589-598.

【2022】
9. Xu, Y., Yu, Y., Xia, M., Sheng, X.*, & Zhu, X. (2022). A novel and efficient surface electromyography decomposition algorithm using local spatial information. IEEE Journal of Biomedical and Health Informatics, 27(1), 286-295.
8. Zhao, J., Yu, Y., Wang, X., Ma, S., Sheng, X., & Zhu, X.* (2022). A musculoskeletal model driven by muscle synergy-derived excitations for hand and wrist movements. Journal of Neural Engineering, 19(1), 016027.
7. Chen, C., Ma, S., Yu, Y., Sheng, X., & Zhu, X.* (2022). Segment-wise decomposition of surface electromyography to identify discharges across motor neuron populations. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 2012-2021.
6. Yu, Y., Chen, C., Zhao, J., Sheng, X.*, & Zhu, X. (2022). Surface electromyography image-driven torque estimation of multi-DoF wrist movements. IEEE Transactions on Industrial Electronics, 69(1), 795-804.

【2015-2021 (During Ph.D. Period)】
5. Chen, C., Yu, Y., Sheng, X., & Zhu, X.* (2021). Non-invasive analysis of motor unit activation during simultaneous and continuous wrist movements. IEEE Journal of Biomedical and Health Informatics, 26(5), 2106-2115.
4. Chen, C., Yu, Y., Sheng, X., Farina, D., & Zhu, X.* (2021). Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time. Journal of Neural Engineering, 18(5), 056010.
3. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2020). Wrist torque estimation via electromyographic motor unit decomposition and image reconstruction. IEEE Journal of Biomedical and Health Informatics, 25(7), 2557-2566.
2. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2020). Multi-DoF continuous estimation for wrist torques using stacked autoencoder. Biomedical Signal Processing and Control, 57, 101733
1. Chen, C., Yu, Y., Ma, S., Sheng, X., Lin, C., Farina, D., & Zhu, X.* (2020). Hand gesture recognition based on motor unit spike trains decoded from high-density electromyography. Biomedical Signal Processing and Control, 55, 101637.

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※ Conference Papers：

【After 2021】
12. Zhou, Z., Yu, Y., & Sheng, X.* (2025, October). Electrode Shift-Robust Decomposition of Surface EMG Signals via Deep Learning: A Simulation Study. In: Intelligent Robotics and Applications. ICIRA 2025. Lecture Notes in Computer Science, vol. 16074. Springer, Singapore. https://doi.org/10.1007/978-981-95-2095-4_25
11. Zhao, J., Yu, Y., Sheng, X.*, & Zhu, X. (2024, December). Decoding Wrist and Hand Movement Using a Synergy-Driven, Variable Stiffness Musculoskeletal Model Under Different Loads. In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1434-1439). IEEE.
10. Fang, Y., Yu, Y., Guo, W.*, & Sheng, X.* (2024, December). Multi-DoF Continuous Estimation for Wrist Torques Using Convolutional Neural Network. In 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1464-1469). IEEE.
9. Zhao, J., Yu, Y., Sheng, X.*, & Zhu, X. (2022, August). Extracting stable control information from EMG signals to drive a musculoskeletal model-a preliminary study. In International Conference on Intelligent Robotics and Applications (pp. 735-746). Cham: Springer International Publishing.

【Before 2021】
8. Zhao, J., Yu, Y., Sheng, X.*, & Zhu, X. (2020, November). An improved calibration method of EMG-driven musculoskeletal model for estimating wrist joint angles. In Intelligent Robotics and Applications: 13th International Conference, ICIRA 2020 (pp. 41-51). Springer International Publishing.
7. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2020, October). A motor unit-specific images based scheme for continuous estimation of wrist torques-A pilot study. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3182-3187). IEEE.
6. Chen, C., Yu, Y., Sheng, X., & Zhu, X.* (2020, July). Analysis of motor unit activities during multiple motor tasks by real-time emg decomposition: perspective for myoelectric control. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 4791-4794). IEEE.
5. Yu, Y., Chen, C., Sheng, X.*, & Zhu, X. (2019, March). Continuous estimation of wrist torques with stack-autoencoder based deep neural network: A preliminary study. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 473-476). IEEE.
4. Chen, C., Yu, Y., Chai, G., Sheng, X., & Zhu, X.* (2019, March). Estimating the single-DoF kinematics of wrist from motor unit behaviors. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 469-472). IEEE.
3. Liu, S., Hua, L., Lv, P., Yu, Y., Gao, Y., & Sheng, X.* (2018, August). A pulse condition reproduction apparatus for remote traditional Chinese medicine. In Intelligent Robotics and Applications: 11th International Conference, ICIRA 2018 (pp. 453-464). Springer International Publishing.
2. Zhang, H., Zhao, Z., Yu, Y., Gui, K., Sheng, X., & Zhu, X.* (2018, August). A feasibility study on an intuitive teleoperation system combining IMU with sEMG sensors. In Intelligent Robotics and Applications: 11th International Conference, ICIRA 2018 (pp. 465-474). Springer International Publishing.
1. Yu, Y., Sheng, X.*, Guo, W., & Zhu, X. (2017, December). Attenuating the impact of limb position on surface EMG pattern recognition using a mixed-LDA classifier. In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO) (pp. 1497-1502). IEEE.