Papers
75
Total Citations
1,091
H-Index
18
About
Byung-Cheol Min is a prolific robotics and artificial intelligence researcher whose work spans multi-robot systems, human-robot interaction, autonomous vehicles, and smart agricultural technologies. Best known for developing SMART-LLM (2024, 127 citations), a groundbreaking framework that leverages large language models for embodied multi-robot task planning, Min has consistently pushed the boundaries of intelligent autonomous systems. His research into multi-robot coordination is further demonstrated through foundational contributions to rendezvous strategies and network topology-based tracking, establishing theoretical and practical frameworks for decentralized robot teams. Min's interdisciplinary reach is notable: he has developed low-cost unmanned surface vehicles for real-time water quality monitoring (2019, 77 citations), advanced BIM-based construction robotics (2022, 67 citations), and applied precision technologies to dairy farming (2023, 55 citations). His work on cloud robotics, deep reinforcement learning-based computational offloading, and natural language communication models further reflects a commitment to making robots more capable and accessible in real-world environments. With research addressing multi-human multi-robot workload allocation and wireless relay deployment, Min's portfolio reveals a researcher dedicated to bridging theoretical rigor with transformative practical applications across diverse and challenging domains.
Research Focus
Key Achievements
Top Papers
- 1SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models127 citations · 2024
- 2A low-cost and small USV platform for water quality monitoring77 citations · 2019
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- 7Multipoint Rendezvous in Multirobot Systems34 citations · 2018
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