Yu Zhou (周宇)

I am a third-year PhD student at the College of Mechanical & Energy Engineering, Beijing University of Technology. I am extremely fortunate to be advised Prof. Jianfeng Li. Before that, I studied as an undergraduate at School of Mechanical and Materials Engineering, North China University of Technology.

I am broadly interested in Medical Robotics, Control Theory, and Machine Learning. These days, I am mostly drawn by the development of Diffusion Models. A topic that I am actively thinking about/working on is How to build effective physical human-robot interaction strategies through multimodal information.

I’m actively looking for a full-time position! Let’s connect if you happen to know any good fittings.

Publications

2023

IEEE

Prediction of Actively Exerted Torque From Ankle Joint Complex Based on Muscle Synergy

Yu Zhou, Jianfeng Li, and Mingjie Dong

IEEE Transactions on Industrial Electronics, 2023

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IEEE

Isokinetic Muscle Strength Training Strategy of an Ankle Rehabilitation Robot Based on Adaptive Gain and Cascade PID Control

Jianfeng Li, Yu Zhou, Mingjie Dong, and 1 more author

IEEE Transactions on Cognitive and Developmental Systems, 2023

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2022

Robotica

Clinically oriented ankle rehabilitation robot with a novel mechanism

Jianfeng Li, Yu Zhou, Mingjie Dong, and 2 more authors

Robotica, 2022

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2021

Review

State of the art in parallel ankle rehabilitation robot: a systematic review

Mingjie Dong, Yu Zhou, Jianfeng Li, and 4 more authors

Journal of NeuroEngineering and Rehabilitation, 2021

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The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible to musculoskeletal and neurological injuries, especially neurological injuries such as drop foot following stroke. An important factor in ankle dysfunction is damage to the central nervous system (CNS). Correspondingly, the fundamental goal of rehabilitation training is to stimulate the reorganization and compensation of the CNS, and to promote the recovery of the motor system’s motor perception function. Therefore, an increasing number of ankle rehabilitation robots have been developed to provide long-term accurate and uniform rehabilitation training of the AJC, among which the parallel ankle rehabilitation robot (PARR) is the most studied. The aim of this study is to provide a systematic review of the state of the art in PARR technology, with consideration of the mechanism configurations, actuator types with different trajectory tracking control techniques, and rehabilitation training methods, thus facilitating the development of new and improved PARRs as a next step towards obtaining clinical proof of their rehabilitation benefits.
ICRA

Estimation of muscle activation during ankle rehabilitation

Jianfeng Li, Yu Zhou, Mingjie Dong, and 2 more authors

In 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2021

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