Seok-Jun Lee
Papers
3
Total Citations
27
H-Index
2
About
Seok-Jun Lee is a robotics researcher focused on enabling service robots to operate intelligently and autonomously in complex, human-centered environments. His primary research areas include software architecture for autonomous manipulation, robotic context awareness, and spatio-temporal reasoning. Lee’s most significant contribution is a novel software architecture that allows service robots to manipulate objects without prior knowledge of tasks or environments, a critical step toward truly autonomous home and workplace assistants. This work has garnered 20 citations, highlighting its relevance to the field. He has also advanced robotic perception and memory by developing a context query-processing framework based on a spatio-temporal context ontology. This framework enables robots to recognize dynamic changes from RGB-D sensors and recall past contexts, using a custom query language (ST-RCQL) to bridge the gap between raw sensor data and high-level reasoning. By tackling the fundamental challenge of unstructured environments, Lee’s research lays essential groundwork for robots that can seamlessly integrate into daily human life, making him a notable contributor to the future of service robotics.
Research Focus
Key Achievements
Top Papers
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