Papers
1
Total Citations
12
H-Index
1
About
Yujie He is a leading researcher in autonomous robotics, specializing in safe and socially aware crowd navigation. His work addresses one of the most pressing challenges in mobile robotics: enabling robots to move seamlessly and safely through densely populated, unstructured environments. He is best known for developing a reactive control framework for pedestrian-robot interactions, which integrates continuous obstacle avoidance with real-time evaluation metrics. His influential 2022 paper, "Pedestrian-Robot Interactions on Autonomous Crowd Navigation," has garnered 12 citations and is widely recognized for advancing the field's understanding of how robots can predict and respond to human movement in crowded spaces. He’s contributions are critical to the deployment of service robots, autonomous delivery vehicles, and assistive technologies in public settings. By focusing on both algorithmic robustness and human-centered interaction, He is helping to bridge the gap between laboratory prototypes and real-world robotic systems, making autonomous navigation safer and more intuitive for everyone.
Research Focus
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Top Papers
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