Papers
1
Total Citations
5
H-Index
1
About
Yiru Wang is an emerging researcher working at the intersection of robotics, autonomous navigation, and intelligent systems. Their most notable contribution to date is a 2022 paper introducing a novel autonomous map calibration method that leverages Visible Light Positioning (VLP) landmarks combined with Simultaneous Localization and Mapping (SLAM) technology, enriched with semantic information to enhance mobile robot navigation. This work addresses one of the fundamental challenges in mobile robotics — accurate and reliable map construction — by integrating multiple sensing and positioning paradigms into a cohesive framework. The research reflects a broader commitment to advancing practical autonomous systems capable of operating effectively across diverse real-world environments. With 5 citations already accrued, Wang's work is beginning to attract attention within the robotics and navigation research community. As mobile robots continue to penetrate industries ranging from logistics to healthcare, contributions like Wang's that tackle core infrastructure challenges — such as precise map calibration — become increasingly critical. Researchers and students exploring indoor positioning, SLAM-based navigation, or semantic robotics will find Wang's work a valuable and technically grounded reference point in this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1