Van Hung Nguyen
Papers
3
Total Citations
54
H-Index
3
About
Van Hung Nguyen is a robotics researcher whose work centers on socially aware robot navigation, human-robot interaction, and autonomous mobile systems. His research addresses one of the most pressing challenges in service robotics: enabling robots to navigate intelligently and respectfully in dynamic, human-populated environments. Nguyen's most notable contribution is his human approaching robot navigation framework, published in 2022 and accumulating 42 citations, which equips mobile service robots with the ability to estimate socially optimal approaching poses and navigate safely toward humans while respecting social norms. This work represents a significant step forward in making robots genuinely context-aware rather than merely obstacle-avoiding. Building on this, his earlier studies introduced the Social Timed Elastic Band (STEB) framework and socio-spatio-temporal modeling techniques, integrating human behavioral characteristics — including spatial, social, and temporal dimensions — into robot path planning. These frameworks allow robots to both approach and avoid people in a manner aligned with human social expectations. Nguyen's collective body of work demonstrates a consistent commitment to bridging robotics engineering with social intelligence, making him a meaningful contributor to the growing field of human-centered autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3