Yufei Tang
Papers
2
Total Citations
48
H-Index
2
About
Yufei Tang is a leading researcher at the intersection of robotics, autonomous systems, and artificial intelligence, with a focus on solving real-world challenges in aquaculture and autonomous driving. Her work on the Hybrid Aerial Underwater Robotic System (HAUCS) represents a pioneering contribution to the Internet of Things (IoT) for aquaculture farms, addressing the critical need for sustainable and economically viable fish farming. This highly cited paper (40 citations) proposes a transformative approach to replace labor-intensive operations with autonomous, resource-efficient monitoring, directly impacting global food security. In the domain of autonomous driving, Tang introduced 3D-SeqMOS, a novel sequential 3D moving object segmentation method (8 citations) that enhances LiDAR-SLAM performance by mitigating drift errors caused by dynamic scene objects. This innovation is vital for improving the accuracy of front-end odometry and back-end loop-closure detection in robotics and autonomous vehicles. Tang’s work bridges the gap between theoretical AI advancements and practical deployment in complex environments, earning recognition for its interdisciplinary impact. Her research not only advances robotic autonomy but also offers scalable solutions for industry, making her a notable figure in modern robotics engineering.
Research Focus
Key Achievements
Top Papers
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