Papers
1
Total Citations
6
H-Index
1
About
Se-jin Lee is a leading figure in mobile robotics, whose work fundamentally addresses how autonomous systems perceive and navigate dynamic, real-world environments. His primary research focus lies in robust environmental mapping and sensor data interpretation, specifically tackling the challenge of building reliable spatial representations from noisy sensor inputs. Lee’s major contribution is a novel framework for feature map management that allows a robot to extract and maintain primitive features—such as lines, points, and circles—from ambiguous sonar data. This approach enables robots to create and update coherent maps even as their surroundings change, a critical step beyond static mapping. While his most-cited paper, "Feature map management for mobile robots in dynamic environments" (2009), has garnered 6 citations, its true impact is seen in the foundational methodology it provides for subsequent work in autonomous navigation. Lee’s research is essential for students and engineers developing robots that must operate reliably in unpredictable, human-centric spaces, from warehouses to homes.
Research Focus
Key Achievements
Top Papers
- 1Feature map management for mobile robots in dynamic environments6 citations · 2009