Thien Tran
Papers
5
Total Citations
18
H-Index
3
About
Thien Tran is a rising researcher at the forefront of human-robot interaction, specializing in the integration of mixed reality (MR), virtual reality (VR), and the Industrial Internet of Things (IIoT) to transform industrial automation. His work centers on developing human-centric interfaces that enhance robotic training and teleoperation, bridging the gap between human intuition and machine precision. Tran’s major contributions include the creation of a kinesthetic learning platform combined with digital twins for robot pick-and-place operations, as detailed in his most-cited 2024 paper (6 citations), which empowers operators through immersive, hands-on training. He has also advanced real-time teleoperation by leveraging VR and IoT networks to improve spatial awareness and control in industrial settings (2025, 4 citations). With a growing body of work that includes pioneering applications of mixed reality for collaborative robot control (2023, 4 citations), Tran’s research is shaping the next generation of smart manufacturing. His achievements highlight a commitment to making robotic systems more accessible, efficient, and safe for human operators, earning him recognition as an emerging voice in Industry 4.0 and 5.0 technologies.
Research Focus
Key Achievements
Top Papers
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