Yangshi Shao

Papers

Total Citations

213

H-Index

About

Yangshi Shao is a pioneering researcher in bioinspired soft electronics and human–robot interfaces, with a focus on advancing artificial sensory systems. Their major contributions lie in developing novel sensory technologies that mimic biological systems, particularly electroreception and acoustic sensing. Shao’s most cited work, “Bioinspired soft electroreceptors for artificial precontact somatosensation” (2022, 138 citations), introduces soft sensors inspired by elasmobranch fishes like sharks, enabling remote environmental perception before physical contact—a breakthrough for touch-based human-interfaced applications. Another key paper, “Graphene‐based dual‐function acoustic transducers for machine learning‐assisted human–robot interfaces” (2022, 75 citations), demonstrates dual-function transducers that serve as both artificial ears and triboelectric acoustic sensors, integrated with machine learning to enhance robotic intelligence. These innovations have significant implications for prosthetics, soft robotics, and interactive systems. Shao’s work is notable for merging materials science, bioinspiration, and artificial intelligence, achieving high impact in a short time. Their research not only advances fundamental understanding of somatosensation but also provides practical pathways for next-generation human–machine interaction, making Shao a rising leader in the field.