Jennie Si

Toward Task-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation

Zhang, Q., Si, J., Tu, X., Li, M., Lewek, M. D., & Huang, H. (2024, September 19). IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol. 9.

A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 895–903.

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

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

Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control

IEEE ROBOTICS AND AUTOMATION LETTERS, 7(2), 2549–2556.

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

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

Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning

IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 9(1), 19–30.

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.