Papers
2
Total Citations
33
H-Index
2
About
Duan Zhao is a leading researcher in autonomous navigation and human-robot interaction, with a focus on developing safe, intelligent systems for edge agents like socially-aware robots and autonomous vehicles. His work centers on multi-modal pedestrian trajectory prediction, a critical component for enabling these agents to navigate safely in crowded, dynamic environments. Zhao’s major contributions include the creation of novel spatial-temporal graph-based models that capture both individual pedestrian motion and complex social interactions. His highly cited 2020 paper, "Multi-Modal Pedestrian Trajectory Prediction for Edge Agents Based on Spatial-Temporal Graph" (24 citations), pioneered a framework for predicting multiple plausible future paths, directly enhancing the safety and reliability of autonomous systems. Building on this, his 2022 work, "Multimodal Pedestrian Trajectory Prediction Based on Relative Interactive Spatial-Temporal Graph" (9 citations), further refined interaction modeling by emphasizing relative spatial relationships between pedestrians. Through these innovations, Zhao has significantly advanced the field of predictive modeling for human-aware navigation, laying essential groundwork for the next generation of autonomous agents that can seamlessly and safely coexist with people.
Research Focus
Key Achievements
Top Papers
- 1
- 2