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About

Yanhe Song is a leading researcher in the fields of robotics, wearable electronics, and intelligent sensing systems. His work bridges the gap between bioinspired materials and advanced robotic control, with a focus on enhancing the performance and autonomy of legged robots and flexible sensors. Song’s most impactful contribution is the development of a bioinspired, fiber-based, self-powered sensor for wearable applications, which has garnered 34 citations since 2024. This innovation addresses critical challenges in waterproofing, shape adaptability, and scalability, offering transformative potential for wearable electronics. In robotics, Song has made significant strides in improving the precision and stability of legged robots. His kinematics correction algorithm for leg hydraulic drive systems (LHDS) with semi-cylindrical foot ends (30 citations, 2021) and his novel force sensor calibration method (27 citations, 2021) have enhanced contact force solution accuracy and motion control. Additionally, his compensation strategy for serial robots with redundant degrees-of-freedom (14 citations, 2024) tackles cumulative error issues, ensuring high end-effector pose precision. With over 130 citations across his top papers, Song’s work is widely recognized for its practical impact on robotics and sensor technology. His achievements underscore a commitment to advancing autonomous systems and human-machine interaction.