Papers
3
Total Citations
33
H-Index
3
About
Hongcheng Zhao is a researcher at the forefront of 3D computer vision and surgical robotics, making significant contributions to both fields. His primary research areas include category-level 6D object pose estimation and the learning curve analysis of robot-assisted surgery. Zhao’s most impactful work is the development of **HouseCat6D**, a large-scale, multi-modal dataset for category-level 6D object perception. This dataset, which has garnered **26 citations** since its 2024 release, addresses critical shortcomings in existing benchmarks by providing high-quality annotations and diverse pose variations for household objects in realistic scenarios, thereby advancing practical applications in robotics and augmented reality. In the medical domain, Zhao has also explored the learning curve of robot-assisted laparoscopic partial nephrectomy (RALPN) using CUSUM analysis, offering valuable insights for surgical training in China. By bridging the gap between synthetic data and real-world complexity, Zhao’s work is shaping the future of autonomous manipulation and minimally invasive surgery.
Research Focus
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Top Papers
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