Papers
10
Total Citations
94
H-Index
5
About
Minh Duc Duong is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on developing intelligent control systems for pneumatic artificial muscles (PAMs). His major contributions include pioneering adaptive fuzzy sliding mode control for PAM-based actuators, addressing the nonlinearity and delay challenges inherent in these muscle-like actuators. His work on master-slave teleoperation systems for rehabilitation, integrating haptic feedback and impedance adjustment, has been highly influential, with his 2005 paper on teleoperation for rehabilitation accumulating 26 citations and his 2023 PAM control study also reaching 26 citations. Duong has advanced lower-limb exoskeleton technology through nonlinear extended observer-based active disturbance rejection control (ADRC), and developed innovative methods for arm muscle strength assessment using EMG-moment models. His research extends to industrial applications, including vibration suppression for semiconductor wafer transfer robots using input preshaping control. Duong’s work bridges rehabilitation engineering and industrial robotics, demonstrating versatility in creating stable, force-feedback-enabled teleoperation systems that operate reliably even with time-delay communication environments.
Research Focus
Key Achievements
Top Papers
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- 2MASTER-SLAVE SYSTEM WITH TELEOPERATION FOR REHABILITATION26 citations · 2005
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- 8Fast terminal sliding mode control for dual arm manipulators4 citations · 2023
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