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About

Yikui Gao is a leading researcher in self-powered sensing systems, with a focus on triboelectric nanogenerators (TENGs) for smart robotics, human–machine interaction, and medical rehabilitation. Their work centers on developing innovative, battery-free sensors that enable precise motion tracking and acoustic detection, addressing critical challenges in automatic control and intelligent systems. Gao’s most cited paper, “A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles” (2022, 103 citations), introduces a DS-TENG that provides dual-type signals for vector motion monitoring, significantly enhancing efficiency in autonomous systems. Another notable contribution, “A Highly‐Sensitive Omnidirectional Acoustic Sensor for Enhanced Human–Machine Interaction” (2024, 50 citations), tackles noise-robust sound source localization, advancing natural communication in robots. Their work “A self-powered vector motion sensor for smart robotics and personalized medical rehabilitation” (2022, 41 citations) further demonstrates the versatility of these sensors in healthcare applications. With over 190 citations across key publications, Gao’s research is pivotal in merging energy harvesting with intelligent sensing, offering scalable solutions for next-generation automation and assistive technologies.