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About

Martin Egelhaaf is a leading computational neuroscientist and bioroboticist whose research sits at the intersection of insect neuroscience, visual processing, and neuromorphic engineering. His work has profoundly advanced our understanding of how miniature brains — particularly those of flies and bees — achieve remarkable feats of navigation, spatial vision, and collision avoidance using surprisingly elegant computational strategies. Egelhaaf's most influential contributions explore how insects exploit optic flow and visual landmarks to navigate complex environments. His highly cited work on honeybee goal-seeking (97 citations) demonstrated how insects match memorized retinal snapshots to return to nest or food locations, while his research on behavioral shaping of visual input (95 citations) revealed how active flight maneuvers themselves optimize the information available to the insect brain. Perhaps most striking is how Egelhaaf has translated biological principles into engineering solutions — designing wide-field catadioptric cameras inspired by insect eyes, developing neuromorphic motion detectors, and implementing bio-inspired collision avoidance on walking robots. His collaborations bridging neuroscience and robotics have produced systems that are not merely imitative but genuinely resource-efficient and capable in dense, cluttered environments. Across a body of work spanning visual neuroscience, autonomous navigation, and neuromorphic computing, Egelhaaf has established insect vision as one of nature's most instructive blueprints for intelligent, efficient machine perception.