Thang Tran
Papers
1
Total Citations
3
H-Index
1
About
Thang Tran is a researcher focused on the intersection of robotics, pedestrian dynamics, and human-robot interaction, with a particular emphasis on how autonomous systems navigate crowded, real-world environments. His work addresses the critical challenge of enabling companion robots to move naturally alongside humans, especially in dense pedestrian flows. In his most-cited paper, "A model for determining natural pathways for side-by-side companion robots in passing pedestrian flows using dynamic density" (2022), Tran introduces a novel framework that allows pairs of robots to dynamically switch between side-by-side and leader-follower formations. This model uses real-time density calculations to minimize spatial conflict with oncoming pedestrians, balancing the social preference for side-by-side movement against the need for efficient space usage. While his citation count is still growing, this work represents a foundational step toward more socially aware and less intrusive robotic companions. Tran’s contributions are particularly valuable for developing assistive robots in public spaces like airports, hospitals, and shopping centers, where seamless integration with human traffic flow is essential for safety and acceptance.
Research Focus
Key Achievements
Top Papers
- 1