Jinna Lei

Papers

Total Citations

429

H-Index

About

Jinna Lei is a leading researcher in robotic manipulation and computer vision, with a particular focus on deformable object handling. Her most influential work, "Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding" (2010), has garnered 429 citations and stands as a cornerstone in the field of robotic fabric manipulation. In this seminal paper, Lei introduced a novel vision-based algorithm that reliably detects cloth corners using only geometric cues, making the approach robust to variations in texture and pattern. This work directly enabled practical robotic towel folding, demonstrating real-world applicability. Lei's contributions have significantly advanced the understanding of how robots can perceive and interact with non-rigid materials, a notoriously challenging problem in robotics. Her research bridges the gap between theoretical computer vision and practical manipulation, providing foundational methods that continue to inspire subsequent work in automated laundry folding, surgical robotics, and industrial textile handling. Through her innovative use of multiple-view geometry, Lei has established herself as a key figure in deformable object manipulation, with her 2010 paper remaining a highly cited reference for researchers tackling cloth-related robotic tasks.