Yongxi Li

Papers

Total Citations

H-Index

About

Yongxi Li is a robotics researcher whose work centers on autonomous navigation and environmental mapping for industrial inspection applications. His most cited paper, "Design of a 2D laser mapping system for substation inspection robot" (2016, 4 citations), addresses a critical challenge in robotics: creating reliable, real-time maps for autonomous systems in complex environments. Li’s contribution lies in developing a laser-based mapping solution that overcomes the limitations of traditional magnetic guidance and RFID parking systems, enabling robots to navigate more flexibly and accurately in substations—a key setting for power infrastructure maintenance. While his citation count is modest, his work reflects a practical, application-driven approach to robotics, bridging the gap between theoretical SLAM (Simultaneous Localization and Mapping) algorithms and real-world deployment. Li’s research is particularly notable for its focus on industrial robotics, where robust mapping is essential for safety and efficiency. For students and researchers, his work offers a clear example of how foundational mapping techniques can be tailored to solve specific operational problems, highlighting the importance of domain-specific innovation in robotics.