The Tri Bui
Papers
3
Total Citations
11
H-Index
3
About
The Tri Bui is a robotics researcher whose work focuses on advancing human-robot interaction and autonomous manipulation in manufacturing and industrial settings. His key contributions span three interconnected areas: collaborative manipulation through pushing-grasping fusion, digital twin-enabled human-robot interaction, and vision-based robotics for infrastructure maintenance. In his most cited work, "Approaching Collaborative Manipulation by Pushing-Grasping Fusion" (5 citations), Bui introduces a hierarchical framework that combines motion primitives to achieve high success rates in manipulating unknown objects—a critical capability for flexible automation. His second major contribution, "A Digital Twin-Empowered Framework for Interactive Consumers in Manufacturing Using Wearable Device" (3 citations), proposes a novel digital twin-based robotic framework (DTbRF-HRI) that integrates wearable devices to enhance productivity and automation in smart manufacturing environments. Additionally, his earlier work on "Application of the Image Processing Technique for Powerline Robot" (3 citations) demonstrates his versatility in applying computer vision to real-world robotics challenges. With emerging research in 2025, Bui is establishing himself as a promising voice in the next generation of robotic control and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Approaching Collaborative Manipulation by Pushing-Grasping Fusion5 citations · 2025
- 2
- 3Application of the Image Processing Technique for Powerline Robot3 citations · 2023