| 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 | 164 | 2017 |
| 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 | 84 | 2018 |
| 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 | 62 | 2020 |
| 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 | 52 | 2021 |
| 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 | 41 | 2021 |
| 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 | 37 | 2020 |
| 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 | 26 | 2021 |
| 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 | 22 | 2021 |
| 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 | 22 | 2019 |
| 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 | 19 | 2022 |
| 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 | 18 | 2020 |
| 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 | 14 | 2022 |
| 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 | 13 | 2022 |
| 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 | 12 | 2019 |
| 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 | 11 | 2023 |
| 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 | 10 | 2021 |
| 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 | 9 | 2018 |
| 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 | 7 | 2022 |
| 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 | 6 | 2021 |
| 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 | 5 | 2019 |
He (Helen) HuangNorth Carolina State University & University of North Carolina at Chapel Hill在 ncsu.edu 的电子邮件经过验证
