Huq
Papers
1
Total Citations
17
H-Index
1
About
Huq’s research explores the intersection of human behavior and robotics, with a particular focus on how computational models can enable more natural social interactions between people and machines. Their most cited work, “How do people walk side-by-side? — Using a computational model of human behavior for a social robot” (2012), has garnered 17 citations, reflecting its foundational role in understanding pedestrian dynamics for robotic navigation. By modeling the subtle, unspoken rules of human side-by-side walking, Huq contributed to the development of robots that can move alongside people in a socially aware manner—a key challenge in human-robot interaction. This work has implications for assistive robotics, autonomous navigation in crowded spaces, and the design of collaborative robots. Huq’s research demonstrates a commitment to bridging cognitive science and engineering, offering insights that help robots not only perceive but also anticipate human behavior. For students and researchers interested in social robotics, Huq’s work provides a compelling example of how computational models can translate everyday human actions into actionable robotic algorithms.
Research Focus
Key Achievements
Top Papers
- 1