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Mingming Zhang

Researcher at Southern University of Science and Technology

Publications -  66
Citations -  863

Mingming Zhang is an academic researcher from Southern University of Science and Technology. The author has contributed to research in topics: Ankle & Computer science. The author has an hindex of 11, co-authored 57 publications receiving 534 citations. Previous affiliations of Mingming Zhang include Huazhong University of Science and Technology & University of Auckland.

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Effectiveness of robot-assisted therapy on ankle rehabilitation – a systematic review

TL;DR: The most effective robot-assisted intervention cannot be determined due to the lack of universal evaluation criteria for various devices and control strategies and future research into the effects of robot- assisted ankle rehabilitation should be carried out based on universal Evaluation criteria, which could determine the most effective method of intervention.
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Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety

TL;DR: Experimental findings suggest the potential of this new adaptive patient-cooperative control strategy as a safe and engaging control solution for rehabilitation robots.
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Adaptive Trajectory Tracking Control of a Parallel Ankle Rehabilitation Robot With Joint-Space Force Distribution

TL;DR: An adaptive trajectory tracking control strategy implemented on a parallel ankle rehabilitation robot with joint-space force distribution is proposed, demonstrating its potential in assisting ankle therapy.
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Reconfigurable workspace and torque capacity of a compliant ankle rehabilitation robot (CARR)

TL;DR: Theoretical analysis indicates that varying kinematic and dynamic performance of the robot can be achieved by reconfiguring the layout of the actuators, and demonstrates the validity of the reconfigurable robotic design for practical applications.
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Linear Active Disturbance Rejection Control for Servo Motor Systems With Input Delay via Internal Model Control Rules

TL;DR: A two-degree-of-freedom IMC scheme combined with the ESO is introduced to further improve the tracking performance of LADRC and the theoretical results show that the uniformly ultimately bounded stability of the system can be guaranteed.