Zeqi Gu

Papers

Total Citations

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About

Zeqi Gu is a researcher advancing the frontier of robotic manipulation, with a particular focus on the complex challenge of handling deformable objects. His work addresses a critical gap in robotics: while rigid object manipulation is well-understood, the ability to deform soft materials—essential for applications ranging from medical surgery to automated food preparation—remains a formidable mathematical and practical problem. Gu’s most cited paper, "Robotic Dough Shaping" (2022, 5 citations), exemplifies his approach by tackling the specific task of shaping dough, a canonical example of a highly deformable, non-linear material. This research contributes to a broader vision of robots that can assist in homes and kitchens, performing delicate tasks that require both precision and adaptability. By defining the problem of soft object deformation in rigorous mathematical terms, Gu is laying the groundwork for more capable and intuitive robotic systems. His work is particularly notable for bridging the gap between theoretical modeling and real-world application, making him a key voice in the growing field of deformable object manipulation.