Papers
1
Total Citations
8
H-Index
1
About
Yongyao Li is a robotics and automation researcher whose work centers on intelligent systems for public health and industrial safety, with a particular focus on autonomous disinfection technologies. His most notable contribution is the design of a UVC surface disinfection robot that integrates coverage path planning using a map-based approach at-the-edge, addressing the urgent need for virus mitigation in cold-chain warehouses and hospital environments during the COVID-19 pandemic. This work, which has garnered 8 citations, demonstrates his expertise in low-computational path optimization, enabling real-time, efficient disinfection without reliance on cloud computing. Li’s research bridges robotics, edge computing, and public health, offering practical solutions for high-risk contamination zones. His achievements highlight a commitment to deploying scalable, autonomous systems that enhance safety and operational efficiency. As a researcher, Li continues to advance the field of service robotics, with his work serving as a foundation for future innovations in autonomous environmental sanitation and intelligent navigation in constrained spaces.
Research Focus
Key Achievements
Top Papers
- 1