Papers
2
Total Citations
99
H-Index
2
About
Song Yao is a pioneering researcher at the intersection of advanced materials science and robotics, whose work spans wearable sensor technology and data-efficient robotic control. In materials science, Yao developed durable, washable antibacterial thermoplastic polyurethane/carbon nanotube@silver nanoparticles electrospun membrane strain sensors, creating multi-conductive networks that maintain functionality under real-world conditions—a breakthrough with 96 citations that promises to revolutionize smart textiles and health monitoring. Simultaneously, in robotics, Yao introduced a novel framework for data-efficient characterization of robot controller dynamics, integrating Gaussian Process surrogate modeling with topological analysis to dramatically reduce experimental data requirements while providing confidence guarantees. This work enables researchers to understand complex, closed-box robotic systems using only randomized short trajectories, opening new pathways for analyzing black-box controllers. With over 99 total citations and contributions spanning two distinct fields, Yao exemplifies interdisciplinary innovation, bridging soft materials engineering and robotics to solve practical challenges in wearable technology and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2