Junqiang Su
Papers
3
Total Citations
38
H-Index
3
About
Junqiang Su is a leading researcher in the automation of garment manufacturing, with a core focus on soft robotics and intelligent fabric manipulation. His work addresses one of the most persistent challenges in the apparel industry: the automated handling of flexible, deformable materials. Su’s major contributions include the design of a novel bionic soft gripper, inspired by a high-heeled shoe, which can delicately separate and grasp fabric layers—a critical step toward fully automated production lines. He has also developed systematic grasping models and mechanical analyses for soft fingers interacting with cut fabric pieces, laying the theoretical groundwork for reliable robotic manipulation of textiles. With his most-cited papers accumulating over 38 citations since 2021, Su’s research is gaining traction as a foundational reference in soft robotics for manufacturing. His work promises to transform the labor-intensive garment sector by enabling robots to handle fabrics with the dexterity and gentleness of human hands, marking a significant step forward in smart manufacturing and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Grasping model of fabric cut pieces for robotic soft fingers14 citations · 2021
- 3