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About

Yonghao Yue is a leading researcher in the intersection of computer graphics, robotics, and physically based simulation, with a primary focus on the autonomous manipulation of deformable objects. His major contributions center on developing predictive simulation and trajectory optimization techniques that enable robots to handle highly unstructured materials like garments and cloth. His seminal 2015 paper on folding deformable objects (107 citations) introduced a novel framework combining thin-shell simulation with trajectory optimization to determine optimal robotic arm movements for garment folding. This work was complemented by his research on regrasping and unfolding garments (60 citations), which developed methods for two-arm robots to iteratively track and manipulate cloth from unknown to known states. Yue has also pioneered model-driven feedforward prediction approaches (39 citations) that address the high-dimensional state space challenges inherent in deformable object manipulation. His innovative multi-sensor surface analysis for robotic ironing (36 citations) demonstrates the practical applications of his research in household robotics. Beyond robotics, Yue has contributed to bridging computer graphics and physics through physically based simulations for predicting object behavior, with applications spanning from optical simulation to fluid dynamics. His work has significantly advanced the frontier of autonomous deformable object manipulation.