Shaoye Luo
Papers
1
Total Citations
9
H-Index
1
About
Shaoye Luo is a robotics researcher whose work centers on autonomous disinfection systems, path planning algorithms, and human-robot interaction for public health applications. His most notable contribution is the development of UV*, a boustrophedon pattern-based path planning and optimization strategy for ultraviolet disinfection robots. This work, published in 2023 and garnering 9 citations, directly addresses the urgent need for efficient, autonomous disinfection solutions during the COVID-19 pandemic. By optimizing robot movement patterns, Luo’s algorithm ensures complete coverage of target areas while minimizing energy consumption and disinfection time, outperforming traditional fixed-point or random-path methods. His research bridges the gap between theoretical path planning and real-world deployment, offering a practical framework for reducing pathogen transmission in hospitals, schools, and industrial settings. Luo’s work has been recognized for its timeliness and impact, contributing to the broader field of service robotics and autonomous systems. With a focus on scalable, environmentally friendly technologies, he continues to advance the intersection of robotics and public health, making his research highly relevant for students and engineers developing next-generation disinfection platforms.
Research Focus
Key Achievements
Top Papers
- 1