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Minhan Li
Minhan Li
在 email.unc.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Model-free control for continuum robots based on an adaptive Kalman filter
M Li, R Kang, DT Branson, JS Dai
IEEE/ASME Transactions on Mechatronics 23 (1), 286-297, 2017
1642017
Design and control of a tendon-driven continuum robot
M Li, R Kang, S Geng, E Guglielmino
Transactions of the Institute of Measurement and Control 40 (11), 3263-3272, 2018
842018
Environmental context prediction for lower limb prostheses with uncertainty quantification
B Zhong, RL Da Silva, M Li, H Huang, E Lobaton
IEEE Transactions on Automation Science and Engineering 18 (2), 458-470, 2020
622020
Toward expedited impedance tuning of a robotic prosthesis for personalized gait assistance by reinforcement learning control
M Li, Y Wen, X Gao, J Si, H Huang
IEEE Transactions on Robotics 38 (1), 407-420, 2021
522021
Reinforcement learning control of robotic knee with human-in-the-loop by flexible policy iteration
X Gao, J Si, Y Wen, M Li, H Huang
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5873-5887, 2021
412021
Wearer-prosthesis interaction for symmetrical gait: A study enabled by reinforcement learning prosthesis control
Y Wen, M Li, J Si, H Huang
IEEE transactions on neural systems and rehabilitation engineering 28 (4 …, 2020
372020
A data-driven reinforcement learning solution framework for optimal and adaptive personalization of a hip exoskeleton
X Tu, M Li, M Liu, J Si, HH Huang
2021 IEEE international conference on robotics and automation (ICRA), 10610 …, 2021
262021
Taking both sides: seeking symbiosis between intelligent prostheses and human motor control during locomotion
HH Huang, J Si, A Brandt, M Li
Current opinion in biomedical engineering 20, 100314, 2021
222021
Offline policy iteration based reinforcement learning controller for online robotic knee prosthesis parameter tuning
M Li, X Gao, Y Wen, J Si, HH Huang
2019 International conference on robotics and automation (ICRA), 2831-2837, 2019
222019
Reinforcement learning impedance control of a robotic prosthesis to coordinate with human intact knee motion
R Wu, M Li, Z Yao, W Liu, J Si, H Huang
IEEE Robotics and Automation Letters 7 (3), 7014-7020, 2022
192022
Knowledge-guided reinforcement learning control for robotic lower limb prosthesis
X Gao, J Si, Y Wen, M Li, HH Huang
2020 IEEE international conference on robotics and automation (ICRA), 754-760, 2020
182020
Imposing healthy hip motion pattern and range by exoskeleton control for individualized assistance
Q Zhang, V Nalam, X Tu, M Li, J Si, MD Lewek, HH Huang
IEEE Robotics and Automation Letters 7 (4), 11126-11133, 2022
142022
Fusion of human gaze and machine vision for predicting intended locomotion mode
M Li, B Zhong, E Lobaton, H Huang
IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1103-1112, 2022
132022
Gaze fixation comparisons between amputees and able-bodied individuals in approaching stairs and level-ground transitions: a pilot study
M Li, B Zhong, Z Liu, IC Lee, BL Fylstra, E Lobaton, HH Huang
2019 41st annual international conference of the IEEE engineering in …, 2019
122019
A novel framework to facilitate user preferred tuning for a robotic knee prosthesis
A Alili, V Nalam, M Li, M Liu, J Feng, J Si, H Huang
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 895-903, 2023
112023
User controlled interface for tuning robotic knee prosthesis
A Alili, V Nalam, M Li, M Liu, J Si, HH Huang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
102021
Robotic knee prosthesis real-time control using reinforcement learning with human in the loop
Y Wen, X Gao, J Si, A Brandt, M Li, H Huang
International Conference on Cognitive Systems and Signal Processing, 463-473, 2018
92018
Admittance control based human-in-the-loop optimization for hip exoskeleton reduces human exertion during walking
V Nalam, X Tu, M Li, J Si, HH Huang
2022 International Conference on Robotics and Automation (ICRA), 6743-6749, 2022
72022
Reinforcement learning enabled automatic impedance control of a robotic knee prosthesis to mimic the intact knee motion in a co-adapting environment
R Wu, M Li, Z Yao, J Si
arXiv preprint arXiv:2101.03487, 2021
62021
Robotic knee parameter tuning using approximate policy iteration
X Gao, Y Wen, M Li, J Si, H Huang
Cognitive Systems and Signal Processing: 4th International Conference …, 2019
52019
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