Miao Pan
Papers
1
Total Citations
9
H-Index
1
About
Miao Pan is a pioneering researcher in underwater and underground robotic localization, with a focus on magnetic induction (MI) communication systems. Their key research areas include swarm robotics, sensor networks, and electromagnetic-based positioning in challenging environments where traditional methods like GPS or acoustics fail. Pan’s most notable contribution is the development and validation of MI-based localization for underwater robots, as demonstrated in their highly cited 2020 paper, which introduced noise modeling and hardware validation to improve positioning accuracy in aquatic settings. This work, with 9 citations, addresses a critical gap in swarm robotic applications such as foraging and exploration. By leveraging the magnetic near-field of antennas, Pan’s approach enables reliable localization in GPS-denied environments, including underground and underwater domains. Their research has significant implications for autonomous systems in environmental monitoring, infrastructure inspection, and disaster response. Pan’s achievements highlight a commitment to bridging theoretical modeling with real-world hardware validation, advancing the frontier of robotic perception in extreme conditions.
Research Focus
Key Achievements
Top Papers
- 1