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About

Xiaoguang Song is a pioneering researcher in the field of flexible and bionic sensor technology, with a focus on developing advanced systems for multidimensional force sensing. His major contributions lie in creating bio-inspired sensors that mimic natural structures, such as bones embedded in muscle and tentacles, to overcome the limitations of traditional rigid sensors. Song’s work addresses critical challenges in motion monitoring, human‒machine interactions (HMIs), personalized medicine, and soft robotics by enhancing output performance, expanding measuring ranges, and enabling multi-directional force detection. His most-cited paper, "Flexible wide-range multidimensional force sensors inspired by bones embedded in muscle" (2024, 19 citations), introduces a novel design that significantly improves sensor sensitivity and range. Another key work, "A high-sensitivity flexible bionic tentacle sensor for multidimensional force sensing and autonomous obstacle avoidance applications" (2024, 11 citations), demonstrates practical applications in obstacle avoidance and soft robotics. With a growing citation impact, Song is recognized for advancing the frontier of flexible electronics, offering transformative solutions for autonomous systems and intelligent interfaces.