Papers
4
Total Citations
63
H-Index
4
About
Yilin Qu is a pioneering researcher at the intersection of bio-inspired robotics and advanced mechanics, with a primary focus on developing highly maneuverable underwater vehicles modeled after the manta ray. Their work centers on the median and paired fin (MPF) swimming mode, creating robotic manta rays that combine rigid central bodies with flexible pectoral fins to achieve exceptional agility. Qu’s major contributions include developing rigid-flexible coupling dynamic models that accurately capture the complex interactions between structural flexibility and propulsion, as well as introducing deep learning-based uncertainty quantification methods for vibro-acoustic coupling in these systems—work that has garnered 30 citations since 2024. They have also made notable advances in flexoelectric robotic metamaterials, creating dynamic models for structures with large in-plane motions. Qu’s research on gliding and flapping propulsion optimization has enabled real-time online control of swimming gaits, bridging the gap between biological swimming postures and robotic implementation. With a growing citation record across their most influential papers, Qu is establishing themselves as a leading voice in bio-inspired robotics, pushing the boundaries of how flexible structures can be harnessed for superior underwater locomotion.
Research Focus
Key Achievements
Top Papers
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