Y J Chen

Peking University

Papers

1

Total Citations

2

H-Index

1

About

Y J Chen is a robotics researcher whose work focuses on enabling robots to perform complex, deformable object manipulation tasks, with a particular emphasis on garment handling and assembly. Chen’s most notable contribution is the development of "RoboHanger," a system that tackles the challenging problem of robotic hanger insertion into diverse, unseen garments laid flat on a table. This work addresses a critical gap in robotic clothing handling, moving beyond simple folding or grasping to the precise, generalizable insertion of a hanger—a task requiring sophisticated perception and control. Although a recent publication from 2025, with 2 citations, it represents a significant step toward automating laundry and garment care in domestic and industrial settings. Chen’s research lies at the intersection of learning-based manipulation, computer vision, and robot control, aiming to create systems that can adapt to the high variability of soft, deformable objects. By focusing on this underexplored but essential task, Chen is contributing to the broader goal of making robots more useful in everyday environments, where handling textiles and other non-rigid materials is a common yet difficult challenge.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Peking University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago