Papers
5
Total Citations
58
H-Index
5
About
Binh Khanh Dinh is a pioneering researcher at the intersection of soft robotics, wearable exoskeletons, and human-robot interaction. His work focuses on developing safer, more adaptive robotic systems that can work intimately with the human body. Dinh’s most significant contributions lie in the control and actuation of soft wearable exoskeletons, particularly through his innovative use of bowden cable transmissions and multistable composite structures. His highly cited paper on “Position control using adaptive backlash compensation for bowden cable transmission in soft wearable exoskeleton” (22 citations) addresses a critical challenge in achieving precise, safe motion in flexible robotic suits. Dinh further advanced the field by introducing “Multistable series elastic actuators” (17 citations), a novel design that combines traditional motors with compliant composite materials to create actuators with multiple stable states. His work on “Localized Extreme Learning Machine” (7 citations) demonstrates a sophisticated approach to real-time dynamic modeling for exoskeletons. Notably, Dinh’s research also explores the affective dimension of robotics, investigating how users develop emotional attachments to cleaning robots, showcasing his holistic view of human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2Multistable series elastic actuators: Design and control17 citations · 2019
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