Kmb Lee
Papers
1
Total Citations
12
H-Index
1
About
Dr. KMB Lee is a leading researcher in autonomous underwater robotics, with a primary focus on active perception, plume source localization, and energy-efficient navigation. Their most influential work, "Active perception for plume source localisation with underwater gliders" (2018, 12 citations), introduces a novel Gaussian process regression technique that enables underwater gliders to intelligently localize unknown chemical or thermal plume sources while minimizing energy consumption. This contribution is critical for environmental monitoring, search-and-rescue, and oceanographic surveying, where battery life and autonomy are paramount. By integrating active perception—where the robot’s sensing and movement decisions are coupled—Lee’s approach allows gliders to adaptively sample the environment, reducing uncertainty about the source location without wasteful exploration. The work is recognized for bridging probabilistic machine learning with practical field robotics, offering a principled framework for long-duration, energy-constrained missions. Lee’s research continues to influence the design of intelligent, resource-aware autonomous systems, making them indispensable for sustained underwater operations. Their contributions are particularly valued by researchers working at the intersection of robotics, marine science, and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Active perception for plume source localisation with underwater gliders12 citations · 2018