Zijian Ge
Papers
2
Total Citations
7
H-Index
2
About
Zijian Ge is a robotics researcher advancing socially-aware navigation for autonomous mobile robots operating in crowded, dynamic human environments. His work focuses on integrating spatial-temporal crowd modeling with path planning to enable long-term autonomy. Ge’s key contributions include a congestion-aware routing method that leverages known crowd patterns to guide robots through less congested areas, improving efficiency and safety during extended deployments. He further enhanced this approach with an optimization-based continuous spatial-temporal routing framework, which generates collision-free, efficient, and socially considerate paths by modeling crowd dynamics in real time. His most-cited paper (2023, 4 citations) addresses the critical challenge of adapting robot behavior to spatial-temporal anomalies in human crowds, while his 2024 work (3 citations) pushes toward swift, socially-aware navigation. Ge’s research bridges the gap between traditional traffic-aware routing and the nuanced demands of human-robot interaction, making autonomous systems more practical for real-world settings like hospitals, airports, and shopping centers. His work is foundational for students and researchers exploring long-term robot autonomy in human-populated spaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2