Van Bay Hoang
Papers
5
Total Citations
59
H-Index
3
About
Van Bay Hoang is a leading researcher in socially aware mobile robot navigation, focusing on enabling service robots to interact safely and naturally with humans in dynamic environments. His work bridges robotics, human-robot interaction, and social science, with key contributions in developing frameworks that allow robots to approach people appropriately while respecting social norms. His most cited paper, "Socially Aware Robot Navigation Framework: Where and How to Approach People in Dynamic Social Environments" (2022, 42 citations), introduces a two-stage system that estimates optimal approaching poses and navigates socially to them. Hoang’s research also includes the Social Timed Elastic Band (STEB) framework (2020, 7 citations) for avoiding humans, and a socio-spatio-temporal trajectory planning system (2020, 5 citations) for complex environments. These works collectively advance the field by integrating human movement patterns, personal space, and timing into robot motion planning. With over 59 total citations, Hoang’s work is foundational for developing robots that can seamlessly coexist with people in public spaces, such as hospitals or shopping malls. His innovative use of time-dependent motion planning (2021) further underscores his impact on creating adaptive, socially intelligent robots.
Research Focus
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