John Seon Keun Yi
Papers
2
Total Citations
5
H-Index
2
About
John Seon Keun Yi is a robotics researcher whose work bridges intelligent human-robot communication and practical mechanical inspection systems. His primary research areas include object grounding, scene understanding, and robotic manipulation for real-world environments. Yi’s most notable contribution is his work on incremental object grounding using scene graphs, where he addresses the challenge of robots interpreting ambiguous or erroneous human commands to locate target objects in images. This research is critical for advancing natural human-robot interaction, enabling machines to understand context and resolve uncertainty during communication. Although early in its citation impact, this foundational work has already garnered 3 citations, signaling growing interest in his approach to grounding language in visual scenes. Earlier in his career, Yi contributed to mechanical robotics with the design of a double caterpillar-type robot system for crack diagnosis in airplane wing rib structures. This system, cited 2 times, was developed to replace human operators in hazardous inspection tasks, demonstrating his ability to apply robotics to safety-critical infrastructure. Yi’s work uniquely combines cognitive robotics with practical engineering, positioning him as a researcher focused on making robots both smarter and more useful in the real world.
Research Focus
Key Achievements
Top Papers
- 1Incremental Object Grounding Using Scene Graphs3 citations · 2022
- 2