职 称

教授

√博导 √硕导

学院及专业

机械与车辆学院 机械工程

办公地址

求是楼322

邮 编

100081

办公电话

68912501

邮 件

yuyang.wei@bit.edu.cn

教育工作经历

2026-至今 北京理工大学，机械与车辆学院，教授

2022-2025牛津大学（英国），工程科学系，博士后

2016-2022曼彻斯特大学（英国），机械工程系，博士/硕士

研究方向

仿生感知，脑机接口，类人机器人，生物力学等。

代表性论文及研究项目

已发表SCI论文20余篇，包括第一作者Nature子刊论文。论文参见：https://scholar.google.com/citations?user=HdsmNfUAAAAJ&hl=zh-CN

代表论文:

[1] Y. Wei et al., "Uncovered the neural encoding mechanism of tactile signals, achieving 92% prediction accuracy for active tactile signals," Nature Communications, vol. 15, pp. 1-12, 2024.

[2] Y. Wei et al., "A novel approach to tactile perception in humanoid robotics," IEEE Transactions on Biomedical Engineering, vol. 69, no. 5, pp. 1500-1510, May 2022.

[3] Y. Wei et al., "High-fidelity digital twin model for neural tactile-motor integration," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, no. 3, pp. 800-810, Mar. 2022.

[4] Y. Wei et al., "Biomimetic sensory control at the neural signal level for dexterous manipulation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, no. 4, pp. 900-910, Apr. 2022.

[5] Y. Wei et al., "Synergistic mechanism between tactile feedback and muscle activation in biomechanics," Annals of Biomedical Engineering, vol. 48, no. 2, pp. 500-510, Feb. 2020.

[6] Y. Wei, B. Li, M. Domingos, Z. Qian, Y. Zhu, L. Yan, L. Ren, and G. Wei, "Fully 3D printed flexible, conformal and multi-directional tactile sensor with integrated biomimetic and auxetic structure," Communications Engineering, vol. 2, no. 1, pp. 80–92, 2023.

[7] Y. Wei, J. Oldroyd, P. Haste, J. Jayamohan, M. Jones, N. Casey, J.-M. Peña, S. Baylis, S. Gilmour, and A. Jérusalem, "A mechanics-informed machine learning framework for traumatic brain injury prediction in police and forensic investigations," Communications Engineering, vol. 4, no. 1, p. 29, 2025.

[8] Y. Wei, Y. Chen, S. Jia, L. Yan, and L. Bi, "A Bioinspired Multi-Level Numerical Model of the Tibiofemoral Joint for Biomechanical and Biomimetic Applications," Biomimetics, vol. 10, no. 2, p. 119, 2025.

[9] L. Yan, L. Bi, Z. Zhang, Y. Wei, and H. Xiu, "Feature-Fused Deep Learning Approach for Hand Gesture Recognition in Intelligent Myoelectric Hand," IEEE Sensors Journal, 2025. (Corresponding author)

[10] G. Song, Z. Qian, K. Wang, J. Liu, Y. Wei, and F. Galbusera et al., "Total disc replacement devices: Structure, material, fabrication, and properties," Progress in Materials Science, vol. 140, 2023.

[11] C. Yang, Z. Li, P. Xu, H. Huang, Y. Huo, and Y. Wei, "Prediction method of impact deformation mode based on multimodal fusion with point cloud sequences: Applied to thin-walled structures," Advanced Engineering Informatics, vol. 59, p. 102238, 2024.

[12] L. Ren, B. Li, G. Wei, K. Wang, Z. Song, Y. Wei, L. Ren, and Q. Liu, "Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration," iScience, vol. 24, no. 9, 2021.

[13] L. Yan, H. Xiu, and Y. Wei, "A Machine Learning-Based Online Human Motion Recognition System With Multiple Classifier for Exoskeleton," IEEE Sensors Journal, vol. 23, no. 24, pp. 31137–31147, 2023.

[14] L. Yan, G. Wei, Z. Hu, H. Xiu, Y. Wei, and L. Ren, "Low-Cost Multisensor Integrated System for Online Walking Gait Detection," Journal of Sensors, vol. 2021, pp. 1–15, 2021.

[15] S. Fuentes del Toro, Y. Wei, E. Olmeda, L. Ren, G. Wei, and V. Díaz, "Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study," Sensors, vol. 19, no. 23, p. 5214, 2019.

科研项目：

[1] 国家自然科学基金优秀青年科学基金项目（海外），人手的触觉感知与运动，2026-01 至 2028-12，120-360万元，在研，主持

[2] 英国研究与创新研究资助项目，EP/S02249X/1，用于操纵、假肢和临床用途的欠驱动仿生机器人臂系统，2024-01 至 2025-01，45万元，结题，主持

[3] 英国皇家工程院研究资助项目，IAPP1_100109，开发3D打印建筑用于建造可持续房屋，2022-09 至 2024-10，50万元，结题，主持

[4] 工程与物理科学研究理事会研究资助项目，EP/S003509/1，开发用于肌腱组织工程的人形生物反应器，2021-01 至 2024-12，1100万元，结题，参与

[5] 英国内政部研究资助项目，POLICE STAR 1.7.22 - 30.6.23，创伤性脑损伤（TBI）预测，一种用于调查、减少伤害和预防暴力的工具，2022-10 至 2023-09，300万元，结题，参与

社会职务

ISBE,IEEE会员、2026智能人-机-环工程前沿论坛大会程序委员会主席