Papers
12
Total Citations
138
H-Index
6
About
Quy-Thinh Dao is a prominent researcher specializing in rehabilitation robotics, pneumatic artificial muscle (PAM) actuators, and advanced control systems for human-robot interaction. His work centers on developing intelligent exoskeleton and orthosis systems designed to support lower-limb gait rehabilitation, with a sustained focus on bridging engineering innovation and patient-centered care. Dao's most impactful contribution, "Assist-as-Needed Control of a Robotic Orthosis Actuated by Pneumatic Artificial Muscle for Gait Rehabilitation" (2018, 44 citations), demonstrates his ability to design adaptive robotic systems that estimate patient disability levels and adjust assistance accordingly — a critical advancement in personalized rehabilitation. His subsequent work on adaptive fuzzy sliding mode control (2023, 26 citations) and fractional order integral sliding mode control (2019, 16 citations) addresses the inherent nonlinearity and control challenges of PAM-based actuators, establishing him as a leading voice in this technically demanding area. Across his body of work, Dao consistently tackles fundamental challenges including trajectory tracking, patient safety, and system adaptability. With over 130 total citations and contributions spanning design, modeling, and control, his research meaningfully advances the development of safer, smarter rehabilitation robots — offering significant promise for improving recovery outcomes for patients with motor impairments.
Research Focus
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