Minhan Li

Li, M., Liu, W., Si, J., Stallrich, J. W., & Huang, H. (2023). Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(5), 1634–1642. https://doi.org/10.1109/TBME.2022.3224026

Li, M., Zhong, B., Lobaton, E., & Huang, H. (2022). Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 1103–1112. https://doi.org/10.1109/TNSRE.2022.3168796

Wu, R., Li, M., Yao, Z., Liu, W., Si, J., & Huang, H. (2022). Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(3), 7014–7020. https://doi.org/10.1109/LRA.2022.3179420

Tu, X., Li, M., Liu, M., Si, J., & Huang, H. (2021). A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), pp. 10610–10616. https://doi.org/10.1109/ICRA48506.2021.9562062

Zhong, B., Silva, R. L., Li, M., Huang, H., & Lobaton, E. (2021). Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 18(2), 458–470. https://doi.org/10.1109/TASE.2020.2993399

Gao, X., Si, J., Wen, Y., Li, M., & Huang, H. (2021, May 6). Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 5. https://doi.org/10.1109/TNNLS.2021.3071727

Huang, H., Si, J., Brandt, A., & Li, M. (2021). Taking both sides: seeking symbiosis between intelligent prostheses and human motor control during locomotion. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 20. https://doi.org/10.1016/j.cobme.2021.100314

Li, M., Wen, Y., Gao, X., Si, J., & Huang, H. (2021, May 26). Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. IEEE TRANSACTIONS ON ROBOTICS, Vol. 5. https://doi.org/10.1109/TRO.2021.3078317

Alili, A., Nalam, V., Li, M., Liu, M., Si, J., & Huang, H. (2021). User Controlled Interface for Tuning Robotic Knee Prosthesis. 2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6190–6195. https://doi.org/10.1109/IROS51168.2021.9636264

Wen, Y., Li, M., Si, J., & Huang, H. (2020). Wearer-Prosthesis Interaction for Symmetrical Gait: A Study Enabled by Reinforcement Learning Prosthesis Control. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 28(4), 904–913. https://doi.org/10.1109/TNSRE.2020.2979033