Sujin Lee
Papers
2
Total Citations
15
H-Index
2
About
Sujin Lee’s research lies at the intersection of robotics, human-robot interaction, and autonomous navigation, with a focus on creating more intuitive and efficient service robots for home environments. Her most cited work, “A hierarchical path planning of cleaning robot based on grid map” (2013, 9 citations), introduces a novel two-tiered grid mapping approach that reduces computational complexity by applying A* path planning on a coarse grid before refining it, significantly improving the efficiency of cleaning robot navigation. Lee’s earlier influential paper, “Real-time audio-visual localization of user using microphone array and vision camera” (2005, 6 citations), pioneered a multimodal approach to human-robot interaction, enabling robots to naturally locate and approach users by fusing auditory and visual cues in real time. This work laid important groundwork for more responsive and socially aware service robots. While her citation counts reflect a focused, early-career impact, Lee’s contributions to hierarchical path planning and sensor fusion have been foundational for subsequent developments in domestic robotics, demonstrating how practical, real-world challenges can drive innovative algorithmic solutions.
Research Focus
Key Achievements
Top Papers
- 1A hierarchical path planning of cleaning robot based on grid map9 citations · 2013
- 2