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About

Jiayin Xie is a researcher whose work sits at the intersection of robotics, dynamics, and small-scale engineering. Her primary research areas include dynamic simulation, rigid body motion prediction, and the design of microrobots, with a particular focus on systems that operate under complex contact conditions. Xie’s major contribution lies in developing principled methods for predicting the motion of rigid bodies with planar non-convex contact patches—a challenging problem critical for robotic manipulation and control. Her 2019 paper on this topic, which has garnered 9 citations, introduced a novel simulation framework that accounts for topologically complex contact regions. She has also pioneered the use of dynamic simulation to guide the design of tumbling magnetic microrobots, addressing the trial-and-error nature of small-scale robot development. Her 2021 work in this area, with 4 citations, demonstrates how simulation can predict motion and performance at scales where adhesion and surface forces dominate. By bridging simulation and design, Xie is advancing the field toward more efficient, data-driven microrobotics, offering tools that could accelerate innovation in medical and environmental applications.