Papers
3
Total Citations
14
H-Index
3
About
Zefan Su is a robotics researcher focused on developing socially intelligent control strategies for human-robot interaction, particularly for human-following and human-accompanying mobile robots. Their work addresses a critical challenge in social robotics: enabling robots to walk side-by-side with people while respecting personal and social space to ensure psychological comfort and acceptance. Su’s major contributions include a Model Predictive Control (MPC)-based strategy for improving motion coordination between a robot and a target person, a dual closed-loop control framework that explicitly respects social space, and an impedance control approach that leverages human-robot interaction dynamics to enhance social acceptance. These works, published between 2023 and 2024, have collectively garnered over 14 citations, reflecting growing interest in their human-centered design philosophy. By integrating control theory with social norms, Su’s research helps bridge the gap between technical performance and human comfort, paving the way for more natural and acceptable robot companions in applications ranging from healthcare to logistics. Their work is particularly notable for its emphasis on real-time, adaptive control that prioritizes the human experience, making it highly relevant for students and researchers in human-robot interaction, control systems, and social robotics.
Research Focus
Key Achievements
Top Papers
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