Runhe Chen
Papers
4
Total Citations
36
H-Index
3
About
Runhe Chen is a rising researcher in the field of self-powered sensing systems, with a primary focus on triboelectric nanogenerators (TENGs) and micro thermoelectric generators (μTEGs) for intelligent robotics and underwater applications. Chen’s major contributions include the development of a self-powered sensor that detects slip state and pressure in underwater actuators, addressing critical challenges in robotic grasping and manipulation. This work, published in 2023, has already garnered 19 citations, highlighting its immediate impact on the field. Additionally, Chen pioneered a novel material identification method using μTEGs, which leverages thermal conductivity differences to enable smart skin and AI-driven object recognition—a key advancement for autonomous systems. In 2025, Chen further extended this research with a multi-modal sensing approach that integrates TENG and μTEG technologies for reliable grasping in underwater robotic arms. With a growing citation record and a clear trajectory toward practical, energy-autonomous sensors, Chen’s work is shaping the future of soft robotics, human-machine interfaces, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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