Guangyi Xing
Papers
5
Total Citations
38
H-Index
3
About
Guangyi Xing is a rising researcher at the forefront of intelligent sensing and energy harvesting, with a primary focus on triboelectric nanogenerators (TENGs) and micro thermoelectric generators (MTEGs) for advanced robotic applications. Xing’s major contributions lie in developing self-powered, multi-modal sensors that enable robots—particularly underwater manipulators—to perceive critical physical properties such as slip state, pressure, and material thermal conductivity. In their highly cited 2023 work, Xing introduced a self-powered sensor for detecting slip and pressure in underwater actuators, a breakthrough that has garnered 19 citations and addresses a key challenge in aquatic robotic dexterity. Expanding this vision, Xing pioneered a novel material identification method using MTEGs, demonstrating how thermal conductivity differences can be exploited for smart skin and AI-driven robotic perception. More recently, their 2025 research on dual-modal TENG-MTEG synergistic sensing, optimized through machine learning, achieves reliable material identification across multiple environments—a significant step toward robust, intelligent grasping for underwater robotic arms. With a growing citation footprint and a clear trajectory toward practical, self-powered robotic intelligence, Xing’s work is shaping the future of autonomous systems that can see and feel through energy-efficient sensors.
Research Focus
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Top Papers
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