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About

Emily Baird is a researcher whose work spans insect sensory neuroscience, biomechanics, and bio-inspired robotics, with a particular focus on how insects use visual information to guide complex behaviors. Her most influential contribution lies in uncovering the elegant principles behind insect flight control: her 2013 paper "A Universal Strategy for Visually Guided Landing" (138 citations) demonstrated that honeybees regulate landing by maintaining a constant rate of optic flow expansion, a remarkably simple yet robust strategy applicable across species. Complementing this, her 2010 study on goal-seeking in honeybees (97 citations) revealed how insects navigate to remembered locations by matching current visual snapshots to stored retinal representations — a finding with significant implications for understanding miniature-brain computation. More recently, Baird has extended her research to dung beetles, investigating their locomotion, leg coordination during ball rolling, and multifunctional limb design. This work has directly inspired bio-inspired robotic systems, with several collaborative engineering papers translating beetle biomechanics into functional robot designs. Across her career, Baird's research bridges fundamental animal behavior with practical applications in robotics and autonomous systems, making her a distinctive voice at the intersection of neuroethology and engineering.