Tung Thanh Bui
Papers
5
Total Citations
22
H-Index
4
About
Tung Thanh Bui is an emerging robotics researcher whose work spans autonomous exploration, 3D mapping, fault-tolerant control, and industrial automation. His research addresses some of the most pressing challenges in modern robotics, combining theoretical rigor with practical real-world applications. Bui's contributions to autonomous robot exploration are particularly noteworthy. His enhanced sampling-based method with a modified next-best view strategy advances how UAVs and aerial robots navigate unknown environments, optimizing path planning through improved utility functions. Complementing this, his sensor fusion approach to RTAB-Map-based indoor 3D mapping demonstrates meaningful improvements in both speed and accuracy for autonomous navigation systems — work that has already attracted 5 citations since its 2023 publication. In the domain of robot control, Bui has developed innovative fault-tolerant control schemes for both wheeled mobile robots and manipulators, addressing actuator faults and dead zone challenges through adaptive and sliding mode methodologies — without requiring online fault detection mechanisms, a practically significant design choice. His vision system work for pick-and-place robotics further reflects his commitment to bridging research and industrial manufacturing needs. With a growing citation record across multiple robotics subfields since 2021, Bui represents a versatile and promising voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
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