Phil-Yeob Lee

Papers

1

Total Citations

3

H-Index

1

About

Phil-Yeob Lee is a researcher specializing in underwater robotics and multi-agent autonomous systems, with a particular focus on localization and sensor fusion for autonomous underwater vehicles (AUVs). His most-cited work, "Localization Algorithm of Multiple-AUVs Utilizing Relative 3D Observations" (2022), introduces a novel method for estimating relative position and orientation between mobile robots using a dual binaural ultrasonic sensor system. This contribution addresses critical challenges in underwater navigation, where GPS is unavailable, by enabling precise inter-vehicle localization through acoustic signal processing. While his citation count is still emerging—reflecting the early stage of his career—the work has garnered attention for its practical approach to multi-robot coordination in complex underwater environments. Lee’s research bridges theoretical algorithms with real-world sensor constraints, offering scalable solutions for cooperative AUV missions such as ocean exploration, environmental monitoring, and underwater mapping. His ongoing contributions promise to advance the reliability and autonomy of robotic teams in challenging subsea conditions, making him a promising voice in the field of marine robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Localization Algorithm of Multiple-AUVs Utilizing Relative 3D Observations
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago