Wen Jingyang
Papers
1
Total Citations
2
H-Index
1
About
Wen Jingyang is a robotics researcher whose work focuses on autonomous navigation and localization for mobile robots in complex, real-world environments. His most notable contribution addresses a critical challenge during the COVID-19 pandemic: enabling mobile disinfection robots to operate autonomously in unknown indoor spaces. In his 2024 paper, "Indoor Localization and Path Planning of Mobile Disinfection and Epidemic Prevention Robot," Wen proposes a novel approach that integrates the Cartographer algorithm with Simultaneous Localization and Mapping (SLAM) to achieve robust self-localization and path planning without relying on pre-existing maps. This work builds upon existing mobile robot patent technologies, offering a practical solution for deploying disinfection robots in hospitals, schools, and other high-risk areas. While his citation count is still growing—with 2 citations to date—the timeliness and societal relevance of his research highlight its potential for significant impact. Wen's work exemplifies how robotics can directly address pressing public health needs, and his contributions are paving the way for more adaptive and resilient autonomous systems in critical applications.
Research Focus
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Top Papers
- 1