34. S. Zheng, M. Li, et al., "Towards 3D Proprioception for Supernumerary Robotic Limbs: Design and Validation of a Mixed-Content Audio Feedback Scheme," in IEEE Robotics and Automation Letters, vol. 11, no. 6, pp. 6672-6679, June 2026, doi: 10.1109/LRA.2026.3682526.
33. Zheng,S., M. Li, Y. Zheng, T. Tao, J. Xie, and G. Xu. 2026. “ Supernumerary Robotic Limbs: A Quantitative Analysis and Review of Design, Embodiment, and Future Challenges.” Journal of Field Robotics 0: e70185. https://doi.org/10.1002/rob.70185.
32. C. Zhang, M. Li et al., "VarWrist: An Anthropomorphic Soft Wrist With Variable Stiffness," in IEEE Robotics and Automation Letters, vol. 10, no. 8, pp. 7883-7890, Aug. 2025, doi: 10.1109/LRA.2025.3579629.
31. C. Zhang, M. Li, et al., "A Haptic Feedback Sleeve for a Flight Video Game," in IEEE Transactions on Haptics, vol. 18, no. 1, pp. 198-207, Jan.-March 2025, doi: 10.1109/TOH.2024.3518496.
30. 陈敬,李敏,何国璎,张超宙.压觉-滑觉-粗糙度多模态指尖触觉刺激装置研究[J].西安交通大学学报,2024,58(1):178-186
29. 张超宙,李敏,吴宗林,何博,谢俊,徐光华.面向脑卒中康复的气袋式触觉反馈单元特性研究[J].西安交通大学学报,2023,57(6):1-9
28. Li M, Chen J, He B, He G, Zhao C-G, Yuan H, Xie J, Xu G and Li J (2023) Stimulation enhancement effect of the combination of exoskeleton-assisted hand rehabilitation and fingertip haptic stimulation. Front. Neurosci. 17:1149265. doi: 10.3389/fnins.2023.1149265
27. C. Zhang, M. Li, et al., "An Anthropomorphic Robotic Hand With a Soft-Rigid Hybrid Structure and Positive- Negative Pneumatic Actuation," in IEEE Robotics and Automation Letters, vol. 8, no. 7, pp. 4346-4353, July 2023, doi: 10.1109/LRA.2023.3280829.
26. Yang S, Li M, Wang J, Shi Z, He B, Xie J, Xu G. A low-cost and portable wrist exoskeleton using EEG-sEMG combined strategy for prolonged active rehabilitation. Front Neurorobot. 2023 May 24;17:1161187. doi: 10.3389/fnbot.2023.1161187. PMID: 37292117; PMCID: PMC10244749.
25. Li M, Secco EL, Zheng Y, Dai C, Xiong P and Xu G (2023) Editorial: Advances in haptic feedback for neurorobotics applications. Front. Neurosci. 17:1189749. doi: 10.3389/fnins.2023.1189749
24. Li M, Wang J, Yang S, Xie J, Xu G and Luo S (2023) A CNN-LSTM model for six human ankle movements classification on different loads. Front. Hum. Neurosci. 17:1101938. doi: 10.3389/fnhum.2023.1101938
23. S. Yang, M. Li and J. Wang, "Fusing sEMG and EEG to Increase the Robustness of Hand Motion Recognition Using Functional Connectivity and GCN," in IEEE Sensors Journal, vol. 22, no. 24, pp. 24309-24319, 15 Dec.15, 2022, doi: 10.1109/JSEN.2022.3221417.
22. M. Li et al., "Facial Expressions-Controlled Flight Game With Haptic Feedback for Stroke Rehabilitation: A Proof-of-Concept Study," in IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 6351-6358, July 2022, doi: 10.1109/LRA.2022.3170214.
21. B. He, M. Li et al., "Optoelectronic-Based Pose Sensing for a Hand Rehabilitation Exoskeleton Continuous Structure," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5606-5615, 15 March15, 2022, doi: 10.1109/JSEN.2022.3147227.
20. Li M, Chen J, He G, Cui L, Chen C, Secco EL, Yao W, Xie J, Xu G, Wurdemann H. Attention Enhancement for Exoskeleton-Assisted Hand Rehabilitation Using Fingertip Haptic Stimulation. Front Robot AI. 2021 May 21;8:602091. doi: 10.3389/frobt.2021.602091.
19. M. Li, F. Wei, Y. Li, S. Zhang and G. Xu, "Three-Dimensional Pose Estimation of Infants Lying Supine Using Data From a Kinect Sensor With Low Training Cost," in IEEE Sensors Journal, vol. 21, no. 5, pp. 6904-6913, 1 March1, 2021, doi: 10.1109/JSEN.2020.3037121.
18. Li, M., He, B., Zhao, X., Xie, J., Yao, W., & Xu, G. (2021). A wearable fiber-optic sensor for monitoring human elbow and wrist joint motion. Advanced Robotics, 35(7), 400–412. https://doi.org/10.1080/01691864.2020.1837671
17. M. Li et al., "Attention Enhancement and Motion Assistance for Virtual Reality-Mediated Upper-Limb Rehabilitation," in IEEE Transactions on Medical Robotics and Bionics, vol. 2, no. 4, pp. 565-568, Nov. 2020, doi: 10.1109/TMRB.2020.3031006.
16. Li, M., Zhuo, Y., Chen, J., He, B., Xu, G., Xie, J., … Yao, W. (2020). Design and performance characterization of a soft robot hand with fingertip haptic feedback for teleoperation. Advanced Robotics, 34(23), 1491–1505. https://doi.org/10.1080/01691864.2020.1822913
15. Li, Min, Bo He, Ziting Liang, Chen-Guang Zhao, Jiazhou Chen, Yueyan Zhuo, Guanghua Xu, Jun Xie and Kaspar Althoefer. “An Attention-Controlled Hand Exoskeleton for the Rehabilitation of Finger Extension and Flexion Using a Rigid-Soft Combined Mechanism.” Frontiers in Neurorobotics 13 (2019): n. pag.
14. M. Li et al., "Attention-Controlled Assistive Wrist Rehabilitation Using a Low-Cost EEG Sensor," in IEEE Sensors Journal, vol. 19, no. 15, pp. 6497-6507, 1 Aug.1, 2019, doi: 10.1109/JSEN.2019.2910318.
13. 李敏,陈佳洲,何博,等. 连续体结构手外骨骼运动规划与结构优化[J].西安交通大学学报,2019,53(10):1-9.
12. 李敏,何博,等. 柔性可穿戴的腕关节运动角度传感器[J].西安交通大学学报, 2018,52(12):32-37
11. 朱圣晨,李敏,徐光华,谢俊,何博,赵晨光,袁华等. 多段连续结构的外骨骼手指功能康复机器人[J].西安交通大学学报, 2018,52(6):17-22
10. M. Li, G. Xu, B. He, X. Ma and J. Xie, "Pre-Impact Fall Detection Based on a Modified Zero Moment Point Criterion Using Data From Kinect Sensors," in IEEE Sensors Journal, vol. 18, no. 13, pp. 5522-5531, 1 July1, 2018, doi: 10.1109/JSEN.2018.2833451.
9. Li, Min, Guanghua Xu, Jun Xie and Chaoyang Chen. “A review: Motor rehabilitation after stroke with control based on human intent.” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 232 (2018): 344 - 360.
8. 李敏, 徐光华, 谢俊, 等. 脑卒中意念控制的主被动运动康复技术[J]. 机器人, 2017, 39(5): 759-768. DOI: 10.13973/j.cnki.robot.2017.0759
7. Li M, Konstantinova J, Xu G, He B, Aminzadeh V, Xie J, Wurdemann H, Althoefer K. Evaluation of stiffness feedback for hard nodule identification on a phantom silicone model. PLoS One. 2017 Mar 1;12(3):e0172703. doi: 10.1371/journal.pone.0172703.
6. Li M, Sareh S, Xu G, Ridzuan MB, Luo S, Xie J, et al. (2016) Evaluation of Pseudo-Haptic Interactions with Soft Objects in Virtual Environments. PLoS ONE 11(6): e0157681. https://doi.org/10.1371/journal.pone.0157681
5. Li, M., Konstantinova, J., Secco, E.L. et al. Using visual cues to enhance haptic feedback for palpation on virtual model of soft tissue. Med Biol Eng Comput 53, 1177–1186 (2015). https://doi.org/10.1007/s11517-015-1309-4
4. Li M, Luo S, Nanayakkara T, Seneviratne LD, Dasgupta P, Althoefer K. Multi-fingered haptic palpation using pneumatic feedback actuators. Sensors and Actuators A: Physical. 2014 Oct 1;218:132-141. doi: 10.1016/j.sna.2014.08.003
3. Min Li, Maisarah B. Ridzuan, Sina Sareh, Lakmal D. Seneviratne, Prokar Dasgupta, Kaspar Althoefer, Pseudo-haptics for rigid tool/soft surface interaction feedback in virtual environments, Mechatronics, Volume 24, Issue 8, 2014, Pages 1092-1100, ISSN 0957-4158, https://doi.org/10.1016/j.mechatronics.2014.07.004.
2. Min Li, Tommaso Ranzani, Sina Sareh, Lakmal D Seneviratne, Prokar Dasgupta, Helge A Wurdemann and Kaspar Althoefer. Multi-fingered haptic palpation utilizing granular jamming stiffness feedback actuators. Smart Materials and Structures, Volume 23, Number 9. 2014 July. doi: 10.1088/0964-1726/23/9/095007
1. Li M, Liu H, Jiang A, Seneviratne LD, Dasgupta P, Althoefer K et al. Intra-operative tumour localisation in robot-assisted minimally invasive surgery: A review. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine. 2014 May;228(5):509-522. Epub 2014 May 7. doi: 10.1177/0954411914533679




