Yuriy Gerasimov

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About

Yuriy Gerasimov is a pioneering researcher at the intersection of neuromorphic computing, social robotics, and autonomous navigation. His work uniquely bridges hardware-level neural modeling with emotionally intelligent robotic systems. Gerasimov’s most influential contribution is the development of a memristive neuron model that simultaneously implements both excitatory Hebbian learning and inhibitory “sombrero” learning—a crucial step toward hardware that mimics biological synapse dynamics. This foundational paper has garnered 6 citations, reflecting its niche but growing impact on neuromorphic engineering. In parallel, Gerasimov leads the design of “Emotico,” an emotional social robot whose psycho-emotional system models dopamine and serotonin subsystems to generate four basic emotions—a rare integration of affective computing with physical robotics, also cited 6 times. His applied work extends to mobile robotics, where he optimized the integration of an extra laser range finder for SLAM on the Servosila Engineer platform, achieving enhanced mapping accuracy. Gerasimov’s cross-disciplinary approach—from organic memristive circuits to emotional architectures—positions him as a distinctive voice in creating robots that not only navigate the world but also feel it.