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About

Ebru Demir is a leading researcher in low-Reynolds-number locomotion and soft robotics, with a focus on understanding and replicating the movement strategies of microorganisms in viscous, confined environments. Her work bridges fundamental fluid dynamics and applied robotics, offering insights into how tiny swimmers—from helical structures to three-linked-sphere robots—navigate complex spaces where inertia is negligible. Demir’s major contributions include the experimental realization of a “push-me-pull-you” swimmer, a novel mechanism for propulsion at low Reynolds numbers, and the development of 3D-printed, self-learning robots capable of autonomous navigation in confined spaces using reinforcement learning. Her most-cited paper (10 citations) demonstrates a breakthrough in bio-inspired swimming, while her subsequent work (8 and 6 citations) extends these principles to helical swimmers in channels and adaptive crawling robots. Notably, her 2021 study on a 3D-printed, self-learning three-linked-sphere robot showcases a compact, scalable system that learns effective locomotion without prior environmental knowledge—a significant step toward autonomous micro-robots for medical or industrial applications. Demir’s research is highly interdisciplinary, impacting fields from microfluidics to soft robotics, and her innovative use of 3D printing and machine learning positions her at the forefront of intelligent, confined-space navigation.