Qiao Sun
Papers
1
Total Citations
2
H-Index
1
About
Qiao Sun is a robotics researcher specializing in robot manipulation, grasp planning, and generative modeling for autonomous systems. Their work sits at the intersection of deep learning and robotic perception, with a particular focus on enabling robots to interact effectively with objects in real-world environments using partial, single-view observations. Sun's most notable contribution is the Grasp Diffusion Network, a sophisticated approach that applies diffusion models operating over the SE(3) manifold — combining rotational (SO(3)) and translational (R³) spaces — to learn grasp pose generators from partial point clouds. This work addresses a fundamental challenge in robot manipulation: reliably grasping novel objects when only incomplete 3D information is available from a single camera viewpoint. By leveraging simulation-generated datasets and conditional generative modeling, the framework enables rapid, high-quality grasp synthesis during deployment. Although still a recently published work with 2 citations, the research tackles one of the most practically significant bottlenecks in robotic manipulation pipelines. Sun's integration of state-of-the-art diffusion-based generative techniques with SE(3) geometry reflects a growing and impactful trend in robotics research, positioning their contributions as timely and relevant to both academic and industrial communities advancing autonomous manipulation.
Research Focus
Key Achievements
Top Papers
- 1