Papers
1
Total Citations
24
H-Index
1
About
Yongxin He is a leading researcher in autonomous navigation and human-robot interaction, with a primary focus on developing safe, intelligent systems for edge agents such as socially-aware robots and autonomous vehicles. His most influential work, "Multi-Modal Pedestrian Trajectory Prediction for Edge Agents Based on Spatial-Temporal Graph" (2020, 24 citations), introduces a novel framework that leverages spatial-temporal graph structures to predict pedestrian movements in complex, interactive environments. This contribution is critical for enhancing the safety and reliability of autonomous systems operating in human-populated spaces, addressing the core challenge of anticipating uncertain pedestrian behaviors. He’s research integrates multi-modal data and graph-based reasoning, enabling edge agents to make real-time, context-aware decisions. His work has been recognized for its practical implications in robotics and autonomous driving, bridging the gap between theoretical trajectory prediction models and real-world deployment. By advancing pedestrian trajectory prediction, Yongxin He is helping to shape the future of human-centered autonomous navigation, making him a notable figure in the fields of intelligent transportation and embodied AI.
Research Focus
Key Achievements
Top Papers
- 1