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About

Alex Cope is a robotics and computational neuroscience researcher whose work bridges biological intelligence and autonomous systems. His research spans three interconnected domains: swarm robotics, bio-inspired navigation, and computational modelling of insect neural circuits. Cope's most influential contribution, "ARK: Augmented Reality for Kilobots" (2017, 73 citations), transformed how researchers interact with large robot swarms by addressing critical challenges in calibration, tracking, and control at scale. Equally significant is his computational modelling of the insect central complex (59 citations), where he helped elucidate how insects integrate landmark information and motion for navigation — a problem that had long resisted scientific explanation. His bio-inspired approach extends into aerial robotics, where he pioneered the application of honeybee-inspired optic flow for quadcopter navigation (26 citations), demonstrating that insect sensory strategies can meaningfully improve UAV guidance systems. This work grew from his foundational involvement in the Green Brain Project, which aimed to develop a neuromimetic robotic honeybee — one of the field's most ambitious early efforts in embodied insect cognition. Through lightweight robotic platforms designed to replicate insect sensory and cognitive capabilities, Cope consistently works to make bio-inspired robotics more accessible and experimentally tractable for the broader research community.