Man-Fai Leung
Papers
1
Total Citations
22
H-Index
1
About
Man-Fai Leung’s research lies at the intersection of pedestrian dynamics, urban robotics, and human-centered design in public spaces. His most-cited work, “Modelling of Pedestrian Movements near an Amenity in Walkways of Public Buildings” (2022, 22 citations), introduces a novel computational model that captures how people interact with amenities—such as ticket machines or information kiosks—within crowded walkways. This contribution is critical for designing autonomous robots that can navigate seamlessly among humans in complex indoor environments. By quantifying the subtle, often overlooked behaviors around service points, Leung’s model bridges a gap between crowd simulation and real-world robotic navigation. His work has direct implications for improving safety, flow efficiency, and user experience in transit hubs, shopping centers, and hospitals. Beyond this paper, Leung’s broader portfolio explores how environmental cues shape movement patterns, offering actionable insights for architects and urban planners. With a growing citation footprint, he is establishing himself as a key voice in the emerging field of socially aware robotics and pedestrian behavior modeling.
Research Focus
Key Achievements
Top Papers
- 1