Kyungki Kim
Papers
15
Total Citations
272
H-Index
4
About
Kyungki Kim is a pioneering researcher at the intersection of construction robotics, Building Information Modeling (BIM), and artificial intelligence, whose work is transforming how autonomous robots are deployed in built environments. His most influential contribution — "Development of BIM-integrated construction robot task planning and simulation system" (2021, 164 citations) — established a foundational framework for connecting rich building data with robotic task execution, a challenge central to construction automation. Kim has systematically expanded this vision through semantic world modeling, 4D BIM integration, and real-time localization techniques, enabling robots to understand, navigate, and operate within complex indoor construction environments with unprecedented intelligence. Beyond construction, Kim has extended his expertise into healthcare robotics, developing frameworks that integrate large language models (LLMs) with service robots for adaptive patient care — reflecting his broader ambition to make robots contextually aware across domains. His more recent work on LLM-enabled task planning for construction robots signals a forward-looking shift toward natural language-driven robot programming, dramatically lowering barriers for human-robot collaboration. With over 250 cumulative citations and a rapidly growing portfolio, Kim represents a distinctive voice bridging construction engineering, robot autonomy, and AI — making his research essential reading for anyone interested in the future of intelligent, human-aware construction automation.
Research Focus
Key Achievements
Top Papers
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