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About

Xiaolong Zhong is a pioneering researcher in bio-inspired electronic skins and neuromorphic vision systems, with a focus on creating intelligent sensory interfaces for robotics and assistive technologies. His work bridges materials science, device engineering, and machine learning to develop artificial sensory systems that mimic biological perception. Zhong’s most notable contribution is the development of a perovskite retinomorphic image sensor (2025, 55 citations), which enables embodied intelligent vision for exoskeleton robots, allowing them to see, recognize, and respond to real-time environmental cues—a breakthrough for assisting physically disabled individuals. He also designed a fully-printed bionic tactile E-skin (2023, 35 citations) that leverages a coupling enhancement effect and machine learning to recognize objects with high precision, emulating the synergistic interplay of natural skin. These innovations demonstrate Zhong’s ability to integrate flexible electronics with advanced algorithms, achieving both high sensitivity and scalability. His work has garnered significant attention for its potential to revolutionize human-machine interaction, prosthetics, and autonomous systems. By combining fundamental material design with practical device fabrication, Zhong is shaping the future of intelligent, adaptive sensory technologies.