Quoc Van Tran
Papers
2
Total Citations
16
H-Index
2
About
Quoc Van Tran is a leading researcher in robotic gait rehabilitation, specializing in patient-cooperative control strategies for walking-impaired individuals. His work centers on developing intelligent, sensorless control systems that allow rehabilitation robots to detect and respond to a patient’s voluntary efforts, enabling more natural and effective therapy. Tran’s most cited paper, “Force/torque sensorless impedance control for indirect driven robot-aided gait rehabilitation system” (2015), with 13 citations, introduces a novel approach that eliminates the need for physical force/torque sensors, instead using impedance control to achieve patient-cooperative movement. This work was further refined in his follow-up study, “Preliminary results of force/torque sensorless impedance control for Walkbot” (2015), which demonstrated successful application on the Walkbot platform. By enabling robots to actively incorporate patient intent into gait patterns, Tran’s contributions are paving the way for more adaptive, engaging, and clinically effective rehabilitation technologies. His research bridges control engineering and clinical robotics, offering a promising path toward personalized, sensorless rehabilitation that empowers patients in their recovery journey.
Research Focus
Key Achievements
Top Papers
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