Papers
3
Total Citations
53
H-Index
2
About
Haoyu Zhou is a researcher whose work bridges the frontiers of robotics and computer vision, with a particular focus on multi-robot systems and 3D garment modeling. His most impactful contribution is the development of an online multi-robot SLAM system that fuses LiDAR and UWB sensors, enabling faster and more complex environmental exploration than single-robot configurations. This work, which has garnered 40 citations, addresses a critical challenge in cooperative robotics by improving localization and mapping accuracy in real-time. Zhou is also the driving force behind ClothesNet, a large-scale, information-rich 3D garment model repository containing approximately 4,400 models across 11 categories, annotated with features, boundary lines, and keypoints. This dataset, with 13 combined citations, serves as a vital resource for advancing computer vision and simulation tasks, from garment recognition to physics-based modeling. By creating tools that enhance both robotic autonomy and digital asset creation, Zhou’s contributions are shaping the future of intelligent systems and interactive environments, making him a notable figure in applied AI and robotics research.
Research Focus
Key Achievements
Top Papers
- 1An Online Multi-Robot SLAM System Based on Lidar/UWB Fusion40 citations · 2021
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