Jinzhu Shen

Papers

Total Citations

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About

Jinzhu Shen is a leading researcher in robotic manipulation and intelligent manufacturing, with a primary focus on automating complex tasks in the garment industry. Her most cited work, "Grasping model of fabric cut pieces for robotic soft fingers" (2021, 14 citations), addresses a critical bottleneck in garment production: the automated separation and grasping of flexible fabric pieces from a cutting pile. By defining the grasping process and developing a detailed mechanical model for soft fingers, Shen has laid the groundwork for more reliable and adaptive robotic handling of deformable materials. This contribution is pivotal for advancing Industry 4.0 in textile manufacturing, where precision and gentleness are paramount. Her research bridges robotics, materials science, and production engineering, offering practical solutions for reducing manual labor and increasing efficiency. With a growing citation impact, Shen’s work is increasingly recognized as foundational for soft robotics applications in handling non-rigid objects. Her achievements highlight a commitment to solving real-world industrial challenges through innovative, model-driven approaches, making her a rising figure in the field of automated garment assembly.