Yun Fang
Papers
1
Total Citations
11
H-Index
1
About
Yun Fang is a leading innovator in intelligent robotics and human–machine interaction, with a core focus on bioinspired sensing and multimodal perception. Their most cited work introduces a groundbreaking dual-responsive sensing skin that leverages coplanar square-loop electrodes to detect both proximity and pressure—a critical step toward continuous, seamless interaction between humans and machines. This bioinspired transduction design enables artificial skins to transition from single-mode to dual-mode perception, dramatically enhancing the sensory capabilities of intelligent robots. With 11 citations since 2023, Fang’s research is already shaping next-generation wearable electronics and soft robotics. By addressing the need for continuous sensing of interaction processes, their work bridges the gap between static touch detection and dynamic proximity awareness, offering a versatile platform for applications in prosthetics, autonomous systems, and immersive interfaces. Fang’s contributions stand out for their elegant integration of materials science and circuit design, promising to redefine how artificial skins perceive and respond to the physical world.
Research Focus
Key Achievements
Top Papers
- 1