Papers
2
Total Citations
11
H-Index
2
About
Sebin Lee is a leading researcher in autonomous mobile robotics, with a focus on human-aware navigation and dynamic locomotion. His work addresses critical challenges in enabling robots to operate safely and efficiently in complex, real-world environments. Lee’s major contributions include the development of a groundbreaking CCTV-informed navigation framework for crowded indoor spaces, which overcomes the limitations of onboard sensors by leveraging external surveillance data to predict and avoid human obstacles. This work, published in 2024 and already garnering 6 citations, represents a paradigm shift in how robots can interact with dense human crowds. Additionally, Lee has advanced bipedal locomotion with a streamlined perception-control pipeline for dynamic humanoid walking over rough terrain. His 2021 study, cited 5 times, tackles the integrated challenge of vision-aided exploration, mitigating the destabilizing effects of rapid motion and foot-contact vibrations on visual-inertial systems. By bridging the gap between perception and control, Lee’s research is paving the way for more resilient and context-aware robots, with significant implications for service robotics, search-and-rescue, and autonomous navigation in unstructured environments.
Research Focus
Key Achievements
Top Papers
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