Quqin Sun
Papers
1
Total Citations
6
H-Index
1
About
Quqin Sun is a robotics researcher whose work focuses on advancing robotic manipulation in cluttered and constrained environments. Their key contributions lie in developing intelligent pre-grasp strategies, particularly for handling flat, thin objects like books or disks—items notoriously difficult for standard grippers due to limited width. Sun’s most cited paper, "Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments using Sliding Primitives" (2023, 6 citations), introduces a novel approach that uses sliding movements to rearrange objects before grasping, enabling robots to overcome physical limitations and operate more effectively in messy, real-world settings. This work bridges the gap between perception and action, offering practical solutions for tasks like warehouse sorting or home assistance. Though early in their career, Sun’s research has already garnered attention for its innovative use of learning-based primitives to solve a persistent robotics challenge. Their contributions are paving the way for more dexterous and adaptable robotic systems, with clear implications for automation in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1