Papers
2
Total Citations
9
H-Index
2
About
Dr. Thi Truc Thao Phan is a pioneering researcher at the intersection of collaborative robotics, digital twin technology, and intuitive human-robot interaction. Her work centers on making industrial robots safer and more accessible through advanced digital modeling and natural communication interfaces. In her landmark 2024 study, Dr. Phan developed the first comprehensive implementation framework for collaborative robot digital twins based on the ISO 23247 standard—a contribution that has already garnered 5 citations and is shaping industry best practices. Her most innovative contribution came in 2023 with a wireless gesture recognition system that uses high-speed marker-based motion capture to interpret four distinct gestures performed with a rigid object. Remarkably, this system requires no onboard power source or hardware development, representing a breakthrough in low-cost, intuitive robot control. With her research bridging theoretical standards and practical deployment, Dr. Phan is establishing herself as a leading voice in the next generation of human-robot collaboration, where digital twins and natural interaction converge to create safer, more efficient manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2