[1]

Y. Li^#, J. Ren^#, T. Shu^#, F. Yuan^# and Y. Feng^#*, "Spinal neuromotor rehabilitation using a portable isokinetic training robot," Nature, 2026. (Accepted)

[2]

Y. Feng^#*, H. Wu, J. Ren, W. Zhang, X. Jia, X. Liu, X. Hu, H. Jing, Y. Li, Y. Zhao, Z. Wang, X. Liang, J. Xu, Y. Shao, Q. Su, Y. Zhang, M. Zhou, K. Liu, Y. Nie, J. Wang, F. Yuan, L. Wang and X. Ding, "Power-free knee rehabilitation robot for home-based isokinetic training," Nature Communications, vol. 16, no. 2347, 2025. [PDF] [Movie S1] [Movie S2] [Movie S3]

[3]

Y. Feng^#*, X. Hu, Y. Li, K. Ma, J. Ren, Z. Zhou, F. Yuan, Y. Huang, L. Wang, Q. Wang, W. Zhang and X. Ding, "A wearable isokinetic training robot for enhanced bedside knee rehabilitation," IEEE Transactions on Robotics, vol. 41, pp. 2460-2476, 2025. [PDF] [Movie S1] [Movie S2]

[4]

Y. Feng, J. Mai, S. Agrawal and Q. Wang, "Energy regeneration from electromagnetic induction by human dynamics for lower-extremity robotic prostheses," IEEE Transactions on Robotics, vol. 36, no. 5, pp. 1442-1451, 2020. [PDF] [Movie S]

[5]

Y. Feng, J. Liu, W. Zhang, X. Ding and Q. Wang, "Maximum mechanical energy and mechanical-to-electrical energy conversion efficiency between robotic prostheses and humans," IEEE/ASME Transactions on Mechatronics, vol. 29, no. 3, pp. 2277-2289, 2024. [PDF]

[23]

Y. Li^#, J. Ren^#, T. Shu^#, F. Yuan^# and Y. Feng^#*, "Spinal neuromotor rehabilitation using a portable isokinetic training robot," Nature, 2026. (Accepted)

[22]

Y. Zhang, D. Xue, B. Zhang, M. Shi, X. Nan, Y. Zhang, Q. Ge, Y. Zhang, Z. Wang, Y. Feng* and D. Wang*, "A systematic review of soft respiratory exoskeletons: assistance mechanisms, system architectures, and key technologies," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 34, pp. 1869-1884, 2026. [PDF]

[21]

H. Wu, W. Chen, L. Tuo, J. Ren, L. Ju, X. Hu, Y. Shao, D. Shi, L. Ruan, Y. Huang, B. Zhang, K. Wang, Y. Feng* and W. Zhang, "A hybrid assistive-resistive isokinetic training robot for full-cycle knee rehabilitation," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 34, pp. 1294-1304, 2026. [PDF]

[20]

Y. Feng^#*, H. Wu^#, J. Ren, W. Zhang*, X. Jia, X. Liu, X. Hu, H. Jing, Y. Li, Y. Zhao, Z. Wang, X. Liang, J. Xu, Y. Shao, Q. Su, Y. Zhang, M. Zhou, K. Liu, Y. Nie, J. Wang, F. Yuan, L. Wang* and X. Ding*, "Power-free knee rehabilitation robot for home-based isokinetic training," Nature Communications, 16(2347), 2025.

[19]

Y. Feng^#*, X. Hu^#, Y. Li, K. Ma, J. Ren, Z. Zhou, F. Yuan, Y. Huang, L. Wang*, Q. Wang*, W. Zhang* and X. Ding*, "A wearable isokinetic training robot for enhanced bedside knee rehabilitation," IEEE Transactions on Robotics, vol. 41, pp. 2460-2476, 2025.

[18]

L. Ju, H. Jia, Y. Feng*, Y. Huang, Y. Shi, D. Shi, Y. Shao, F. Yuan, Y. Zhao, X. Ding and W. Zhang, "Inter-day grasping model generalization for prosthetic hand using soft optical sensing sleeve," Advanced Intelligent Systems, vol. 7, no. 5, pp. 1-14, 2025.

[17]

Y. Feng, J. Liu, W. Zhang, X. Ding and Q. Wang, "Maximum mechanical energy and mechanical-to-electrical energy conversion efficiency between robotic prostheses and humans," IEEE/ASME Transactions on Mechatronics, vol. 29, no. 3, pp. 2277-2289, 2024.

[16]

W. Zhang, L. Ju, H. Jia, X. Ding and Y. Feng*, "Semi-ring-optic-fiber (SROF) sensor-based abnormal gait recognition via monitoring muscle activation," IEEE Sensors Journal, Vol. 23, no. 17, pp. 19307-19317, 2023.

[15]

W. Zhang, H. Jia, L. Ju, Y. Shi, X. Ding and Y. Feng*, "Bending-sensitive optical waveguide sensor with carbon-fiber layer for monitoring grip strength," IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, pp. 1922-1932, 2023.

[14]

Y. Feng, J. Lin, H. Jia, H. Liu, X. Ding and W. Zhang, "Intentionally light-loss carbon-optic fiber (COF) twisted sensor for calf strength sensing via monitoring vastus medialis," IEEE Sensors Journal, vol. 23, no. 9, pp. 9271-9279, 2023.

[13]

W. Zhang, Z. Ling, S. Heinrich, X. Ding and Y. Feng*, "Walking speed learning and generalization using Seq2Seq gated and adaptive continuous-time recurrent neural network (S2S-GACTRNN) for a hip exoskeleton," IEEE/ASME Transactions on Mechatronics, vol. 28, no. 4, pp. 2375-2386, 2023.

[12]

Y. Feng, D. Xue, L. Ju, W. Zhang and X. Ding, "Small-data-driven temporal convolutional capsule network for locomotion mode recognition of robotic prostheses," IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 30, pp. 2540-2548, 2022.

[11]

Y. Feng, C. Mao, W. Zhang and Q. Wang, "Gait-symmetry-based human-in-the-loop optimization for unilateral transtibial amputees with robotic prostheses," IEEE Transactions on Medical Robotics and Bionics, vol. 4, no. 3, pp. 744-753, 2022.

[10]

D. Shi, W. Zhang, L. Zhang, Y. Feng and X. Ding, "Joint-Angle Adaptive Coordination Control of a Serial-Parallel Lower Limb Rehabilitation Exoskeleton," IEEE Transactions on Medical Robotics and Bionics, vol. 4, no. 3, pp. 775-784, 2022.

[9]

Y. Feng, J. Mai, S. Agrawal and Q. Wang, "Energy regeneration from electromagnetic induction by human dynamics for lower-extremity robotic prostheses," IEEE Transactions on Robotics, vol. 36, no. 5, pp. 1442-1451, 2020.

[8]

Y. Feng and Q. Wang, "Combining push-off power and nonlinear damping behaviors for a lightweight motor-driven transtibial prosthesis," IEEE/ASME Transactions on Mechatronics, vol. 22, no. 6, pp. 2512-2523, 2017.

[7]

Y. Feng and Q. Wang, "Adjusting ankle angle measurement based on a strain gauge bridge for powered transtibial prosthesis," Journal of Dynamic Systems, Measurement and Control-Transactions of the ASME, vol. 142, no. 7, pp. 1-10, 2020.

[6]

Y. Feng and Q. Wang, "Using one strain gauge bridge to detect gait events for a robotic transtibial prosthesis with nonlinear damping behaviors," Robotica, vol. 37, no. 11, pp. 1987-1997, 2019.

[5]

Y. Feng, W. Chen and Q. Wang, "A strain gauge based locomotion mode recognition method using convolutional neural network," Advanced Robotics, vol. 33, no. 5, pp. 245-263, 2019.

[4]

L. Chen, Y. Feng, B. Chen, Q. Wang and K. Wei, "Improving postural stability among people with lower-limb amputations by tactile sensory substitution," Journal of NeuroEngineering Rehabilitation, 18:159, pp. 1-14, 2021.

[3]

D. Xu, Y. Feng, J. Mai and Q. Wang, "Real-time on-board recognition of continuous locomotion modes for amputees with robotic transtibial prostheses," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 10, pp. 1-11, 2018.

[2]

B. Chen, Y. Feng and Q. Wang, "Combining vibrotactile feedback with volitional myoelectric control for robotic transtibial prostheses," Frontiers in Neurorobotics, vol. 10, no. 8, pp. 1-14, 2016.

[1]

许东方, 冯仰刚, 麦金耿, 王启宁, "面向速度适应的动力小腿假肢蹬地时刻在线识别," 中国科学:技术科学, vol. 48, no. 12, pp. 1321-1330, 2018.

[13]

K. Ma, W. Chen, L. Tuo, X. Hu, H. Wu, Y. Shao, D. Shi, K. Wang, C. Wang, T. Zhang, Y. Feng*, W. Zhang and X. Ding, "Trajectory error prediction of manipulator using Seq2Seq gated and adaptive continuous-time recurrent neural network (S2S-GACTRNN)," IEEE International Conference on Robotics and Biomimetics (ROBIO), Chengdu, China, 2025: 1-6. (Best Paper Award Finalist)

[12]

Z. Wang, H. Jing, J. Wang, J. Huang, D. Shi, Y. Shao, W. Zhang, K. Wang and Y. Feng*, "A cost-effective lightweight hip exoskeleton for material handling," IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hangzhou, China, 2025: 1-6.

[11]

X. Hu, Y. Li, H. Wu, W. Zhang and Y. Feng*, "A series variable-stiffness joint for robot-assisted resistance training," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, 2024: 4658-4663.

[10]

L. Ju, H. Jia, Y. Shi, X. Ding, Y. Feng and W. Zhang, "Continuously estimate and control prosthetic grip force by an optical waveguide sensor," IEEE International Conference on Robotics and Automation (ICRA), Yohohama, Japan, 2024: 5317-5322.

[9]

J. Zhang, X. Liu* and Y. Feng*, "Plugging energy regeneration improves braking torque at low speed instead of dynamic energy regeneration," IEEE/RAS/EMBS International Conference on Rehabilitation Robotics (ICORR), Singapore, 2023: 1-5.

[8]

H. Jia, H. Ma, Y. Cheng, L. Ju, Y. Feng* and W. Zhang*, "Spatial or temporal signal considered for gait recognition based on optic-fiber sensor," IEEE International Conference on Robotics and Biomimetics (ROBIO), Koh Samui, Thailand, 2023: 1-6.

[7]

Y. Feng, B. Chen, K. Yuan and Q. Wang, "Robotic transtibial prosthesis with damping control improves amputee’s level-ground walking at different speeds," Proc. of the 18th International Conference on Climbing and Walking Robots, Hangzhou, China, 2015, pp. 19-26. (Best Technical Paper Award, First Prize)

[6]

Y. Feng and Yukie Nagai, "A Computational Approach to Interpersonal Synchronization: Our hypothesis based on predictive processing," The 8th Symposium of Japanese Society of Developmental Neuroscience, p. 27, November 23-24, Osaka, Japan, 2019.

[5]

Y. Feng, J. Zhu and Q. Wang, "A strain gauge based calibration method for ankle joint angle measurement in powered transtibial prosthesis," RSS Workshop on Human-Centered Robotics: Interaction, Physiological Integration and Autonomy, Cambridge, USA, 2017.

[4]

Y. Feng, J. Zhu and Q. Wang, "Metabolic cost of level-ground walking with a robotic transtibial prosthesis combining push-off power and nonlinear damping behaviors: preliminary results," Proc. of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, USA, 2016, pp. 5063-5066.

[3]

Y. Feng, J. Zhu and Q. Wang, "Adding push-off power to a robotic transtibial prosthesis with nonlinear damping behaviors," Proc. of the 19th International Conference on Climbing and Walking Robots, London, UK, 2016, pp. 26-33.

[2]

Y. Feng, B. Chen, T. Huang and Q. Wang, "Walking metabolic cost of transtibial amputee at slow speed using robotic prosthesis with damping behaviors," Dynamic Walking Conference, Columbus, USA, 2015.

[1]

G. Chen, Z. Zhou, Y. Feng, R. Wang, N. Wang and Q. Wang, "Improving the safety of ankle-foot rehabilitation system with hybrid control," Proc. of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Busan, Korea, 2015, pp. 700-705.