Runmiao Fan
Papers
1
Total Citations
2
H-Index
1
About
Runmiao Fan is a researcher whose work centers on advancing mobile robotics, with a particular focus on positioning accuracy and sensor-based navigation. Fan’s most notable contribution is the development of a positioning accuracy compensation method for mobile robots using inverse distance weighting, a technique that enhances the precision of robotic movement in dynamic environments. This work, published in 2021, has garnered 2 citations, reflecting its emerging relevance in the field of autonomous systems. Fan’s research addresses critical challenges in robotic localization, offering practical solutions that improve reliability in real-world applications such as industrial automation and service robotics. By integrating spatial interpolation methods with robotic control, Fan has laid groundwork for more robust and adaptive navigation systems. While still early in their career, Fan’s contributions signal a promising trajectory in the intersection of robotics and computational geometry, with potential implications for future advancements in autonomous vehicle guidance and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1