Vu Trieu Minh
Papers
5
Total Citations
39
H-Index
3
About
Vu Trieu Minh is a researcher at the forefront of accessible robotics and smart automation, with a focus on bridging the gap between human interaction and intelligent machines. His work spans three key areas: low-cost motion tracking for augmented and virtual reality, autonomous robot control, and smart home systems. Minh’s most impactful contribution is the development of a motion tracking glove (25 citations), a low-cost device under €100 that uses inertial measurement units to control 3D virtual robotic arms in real time—democratizing AR/VR development for students and researchers. He has also advanced autonomous robotics through nonlinear model predictive control (NMPC) algorithms for feasible path planning, ensuring stability in dynamic systems. In the realm of healthcare, Minh designed a teleoperation system for medical robots, enabling remote patient examination via a simple, internet-connected interface. His work on smart kitchen automation further explores AI integration for daily living, particularly supporting the disabled and busy individuals. With a portfolio that emphasizes affordability and practical application, Minh’s research empowers broader access to cutting-edge technology, from educational tools to life-enhancing automation.
Research Focus
Key Achievements
Top Papers
- 1Motion tracking glove for augmented reality and virtual reality25 citations · 2019
- 2Application of Artificial Intelligence in Smart Kitchen5 citations · 2019
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