Yu Heng Zeng

Papers

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About

Yu Heng Zeng is a pioneering researcher in neuromorphic tactile perception systems, focusing on artificial sensory platforms that mimic human touch. His major contributions lie in developing bio-inspired electronic devices that integrate sensing, memory, and processing functions, enabling machines to perceive pressure and pain like biological systems. His most cited work, "Artificial Tactile Perceptual Neuron with Nociceptive and Pressure Decoding Abilities" (2020, 93 citations), introduced a breakthrough neural system capable of multifunctional perceptual learning, including nociceptive (pain) responses and pressure decoding—critical for advanced neuromorphic applications. This work demonstrated how artificial neurons can replicate complex tactile senses, bridging the gap between biology and electronics. In 2021, Zeng advanced this field with a "Highly sensitive flexible tactile perceptual interactive platform with functions of Braille code recognition" (6 citations), showcasing a low-cost, low-power flexible device that can decode Braille, highlighting practical applications for assistive technologies. His research emphasizes energy efficiency and manufacturability, making neuromorphic tactile systems more accessible. Zeng’s work has significant implications for robotics, prosthetics, and human-machine interfaces, positioning him as a key innovator in artificial touch and perceptual computing.