Mun Wai Lee

Intelligent Automation (United States)

Papers

1

Total Citations

4

H-Index

1

About

Dr. Mun Wai Lee is a leading researcher in autonomous systems and robotics, with a primary focus on enabling robust navigation for unmanned ground vehicles (UGVs) in challenging, real-world environments. His most cited work, "Landmark-based robust navigation for tactical UGV control in GPS-denied communication-degraded environments," addresses a critical gap in military and field robotics: how to maintain reliable control when satellite signals and communication links are compromised. Dr. Lee’s major contribution lies in developing a landmark-based navigation framework that bridges the gap between low-level manual joystick control and high-level autonomous planning. By integrating visual and environmental cues, his approach allows UGVs to operate effectively even under severe sensor and communication constraints. This work has garnered significant attention, with 4 citations, and is foundational for tactical applications where GPS is unavailable. Dr. Lee’s research directly enhances the resilience and autonomy of field robots, making his contributions vital for defense, search-and-rescue, and exploration missions in degraded environments. His innovative solutions continue to shape the future of robust, real-world robotic navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Landmark-based robust navigation for tactical UGV control in GPS-denied communication-degraded environments
4 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Intelligent Automation (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago