Papers
3
Total Citations
77
H-Index
3
About
Weiguo Song is a leading researcher in human-robot interaction and crowd dynamics, with a focus on enhancing safety and coordination in complex environments. His work bridges robotics and pedestrian behavior, particularly through the development of human-robot coordination control for robotic exoskeletons, where he pioneered a skill-transfer approach that mimics human neuromotor adaptation to environmental forces. This research, published in 2016 and cited 53 times, has significant implications for assistive technologies and rehabilitation. More recently, Song has turned his attention to crowd dynamics and emergency evacuation, investigating how pedestrians interact with obstacles on staircases—a critical factor for fire safety in high-rise buildings. His 2024 study on this topic has already garnered 19 citations, underscoring its relevance. He has also explored nonreciprocal interactions in crowd dynamics, examining how moving threats alter pedestrian speed preferences, a novel contribution with 5 citations. Song’s work is notable for its interdisciplinary approach, combining biomechanics, control theory, and behavioral science to address real-world safety challenges. His research continues to inform both robotic design and evacuation planning, making him a key figure in applied human-centered engineering.
Research Focus
Key Achievements
Top Papers
- 1Human–Robot Coordination Control of Robotic Exoskeletons by Skill Transfers53 citations · 2016
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