Minhan Li

Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(5), 1634–1642.

Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 1103–1112.

Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion

IEEE ROBOTICS AND AUTOMATION LETTERS, 7(3), 7014–7020.

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.

Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 18(2), 458–470.

Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration

Gao, X., Si, J., Wen, Y., Li, M., & Huang, H. (2021, May 6). IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 5.

Taking both sides: seeking symbiosis between intelligent prostheses and human motor control during locomotion

CURRENT OPINION IN BIOMEDICAL ENGINEERING, 20.

Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control

Li, M., Wen, Y., Gao, X., Si, J., & Huang, H. (2021, May 26). IEEE TRANSACTIONS ON ROBOTICS, Vol. 5.

User Controlled Interface for Tuning Robotic Knee Prosthesis

2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6190–6195.

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.