Haisheng Su
Papers
1
Total Citations
1
H-Index
1
About
Haisheng Su is a leading researcher in embodied AI, egocentric perception, and autonomous navigation, with a particular focus on enabling intelligent mobile agents to operate safely in crowded, unstructured environments. His most notable contribution is the introduction of the **RoboSense** dataset and benchmark, a large-scale resource designed to advance reliable near-field scene understanding from an egocentric perspective—a critical challenge for social robotics and autonomous systems. This work addresses the gap between controlled lab settings and real-world deployment, providing standardized evaluation tools that have already garnered early citations and set a foundation for future research in the field. Su’s research bridges computer vision and robotics, emphasizing the practical demands of perception in dynamic, human-centric spaces. By tackling the complexities of egocentric robot perception, he is helping to shape the next generation of socially aware autonomous agents, making his work highly relevant for students and researchers interested in the intersection of AI, robotics, and real-world navigation.
Research Focus
Key Achievements
Top Papers
- 1