Xiuhan Hu

Columbia University

Papers

2

Total Citations

40

H-Index

2

About

Xiuhan Hu is a robotics researcher whose work focuses on the challenging domain of deformable object manipulation, with a particular emphasis on autonomous garment care. Hu’s most significant contribution is the development of a multi-sensor surface analysis system for robotic ironing, a task that requires a robot to perceive and interact with highly variable, non-rigid materials. By integrating multiple sensing modalities, Hu’s approach enables a robot to iteratively generate an ironing plan that systematically removes wrinkles from a piece of cloth, moving beyond simple flattening to achieve a high-quality finish. This foundational work, published in 2016, has garnered 36 citations, establishing Hu as a key contributor to the field of robotic textile handling. The research addresses a critical gap in household robotics, where tasks like ironing remain notoriously difficult due to the need for precise force control and real-time surface analysis. Hu’s achievements demonstrate a unique ability to combine computer vision, tactile sensing, and motion planning, paving the way for more capable and practical domestic robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Multi-sensor surface analysis for robotic ironing
36 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Columbia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago