Chang Qi
Papers
1
Total Citations
26
H-Index
1
About
Chang Qi is a researcher in human-robot interaction, with a focus on social locomotion and the humanization of robotic systems. Their most-cited work, "Human-behaviour-based social locomotion model improves the humanization of social robots" (2022, 26 citations), introduces a novel framework that models how robots can navigate social spaces by mimicking natural human movement patterns. This contribution addresses a critical gap in robotics: enabling machines to move in ways that are intuitive and comfortable for people, thereby enhancing trust and collaboration in shared environments. By grounding robotic behavior in empirical observations of human social dynamics, Qi’s research bridges cognitive science and engineering, offering practical pathways for designing more empathetic and socially aware robots. Their work has implications for assistive technologies, service robots, and autonomous systems in crowded public spaces. With growing interest in socially intelligent robotics, Qi’s contributions are shaping how researchers approach the subtle, non-verbal cues that define human interaction, making their work a touchstone for those exploring the intersection of psychology and robotics.
Research Focus
Key Achievements
Top Papers
- 1