Huanyu Li
Papers
1
Total Citations
3
H-Index
1
About
Huanyu Li is a robotics researcher whose work focuses on advancing robotic manipulation of deformable objects, particularly garments. His major contribution is the development of UniFolding, a sample-efficient, scalable, and generalizable robotic system for unfolding and folding various garments. This system leverages the proposed UFONet neural network, which integrates unfolding and folding decisions into a single, adaptable policy model—a significant step toward practical, real-world robotic laundry and textile handling. Although his most-cited paper currently has 3 citations, its recent publication in 2023 suggests growing interest and impact in the field. Li’s work addresses a notoriously challenging problem in robotics: the manipulation of highly deformable, non-rigid objects. By focusing on sample efficiency and generalizability, his research has the potential to reduce the data and training requirements for such systems, making them more accessible for broader applications. His contributions are particularly notable for bridging the gap between simulation and real-world garment folding, a task that has long been a benchmark for robotic dexterity and perception.
Research Focus
Key Achievements
Top Papers
- 1