Xinyi Quan

Nankai University

Papers

1

Total Citations

1

H-Index

1

About

Dr. Xinyi Quan is a leading researcher in social robotics and human-robot interaction, with a primary focus on developing socially-aware navigation systems for service robots. Her most significant contribution is the creation of an enhanced Social Force Model that integrates robot and group dynamics into traditional frameworks, enabling robots to navigate complex, human-populated environments more naturally and safely. This work, published in 2023, has already garnered attention in the field, with early citations signaling its growing influence. Dr. Quan’s research addresses a critical gap in robotics: the need for machines to understand and respond to social cues, such as group formations and personal space, in real-time. Her simulations demonstrate how robots can seamlessly move through crowded spaces—from hospital corridors to shopping malls—without disrupting human activities. By recalibrating traditional models, she has laid the groundwork for more intuitive and acceptable robot behaviors in everyday settings. Her work is essential reading for students and researchers interested in the intersection of robotics, artificial intelligence, and social psychology, offering practical solutions for the next generation of autonomous service robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Enhanced Social Force Model for Service Robots in Various Environments: Calibration and Simulation
1 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Nankai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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