Trung Ta Tran
Papers
3
Total Citations
8
H-Index
2
About
Trung Ta Tran is a robotics and manufacturing researcher whose work focuses on the automation and reliability of robotic assembly processes. His research addresses one of the most persistent challenges in industrial automation: the jamming of parts during mating operations, a phenomenon that significantly undermines assembly reliability and efficiency. Tran's most notable contributions center on innovative techniques to reduce friction forces that obstruct the assembly process. He has pioneered the investigation of part rotation effects and low-frequency vibration as practical solutions to improve technological reliability in robotic assembly. By developing mathematical models that describe the interplay between gripper rotation and vibration during assembly, his work provides both theoretical foundations and practical guidance for engineers designing adaptive robotic systems. His research demonstrates that applying rotational motion through a robot gripper can substantially reduce friction forces in part connections, making automated assembly more dependable and scalable for industrial deployment. Published between 2019 and 2020, his papers have collectively garnered 8 citations, reflecting a growing recognition of his contributions in the specialized field of robotic assembly engineering. His work offers valuable insights for researchers and engineers seeking to improve the precision, consistency, and commercial viability of automated manufacturing systems.
Research Focus
Key Achievements
Top Papers
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