Y. D. Sharma

Papers

Total Citations

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About

Y. D. Sharma is a pioneering researcher at the intersection of neuromorphic computing and tactile sensing for robotics. Their work centers on developing bio-inspired electronic systems that mimic biological neural and sensory functions. Sharma’s most impactful contribution is the demonstration of stress-induced artificial neuron spiking in diffusive memristors (2024, 9 citations), a breakthrough that positions these devices as competitive candidates for artificial electronic neurons capable of integrating into autonomous and robotic systems. This work addresses a critical challenge in neuromorphic engineering by enabling current spiking under constant or slowly varying voltage, closely emulating biological neuronal behavior. In parallel, Sharma has advanced tactile sensing with a study on mechanoreceptor-inspired topological configurations for hardness classification in robotic grippers (2025, 2 citations). This research bridges the gap between commercial off-the-shelf sensors and practical robotic integration, offering novel sensor designs that classify material hardness with human-like precision. Sharma’s work is notable for its dual focus on fundamental neuromorphic components and applied robotic systems, positioning them as a rising contributor to next-generation intelligent machines.