Tae-San Eom

Korea University

Papers

1

Total Citations

9

H-Index

1

About

Dr. Tae-San Eom is a pioneering roboticist whose work bridges artificial intelligence and real-world physical competition. His primary research areas include AI-driven robotics, reinforcement learning in dynamic environments, and autonomous systems for precision sports. Dr. Eom’s most notable contribution is the development of *Curly*, an AI-based curling robot that successfully competed in the Olympic discipline of curling—a landmark achievement demonstrating that AI can operate effectively in complex, real-world settings rather than solely in virtual or laboratory environments. This work, published in 2018, has garnered 9 citations and represents a significant leap in embodied AI, showcasing how strategic decision-making and physical control can be integrated under the high-stakes, slippery conditions of a curling ice sheet. By tackling the challenges of real-time adaptation and precise manipulation, Dr. Eom has opened new avenues for robotics in sports, manufacturing, and beyond. His research continues to inspire students and engineers, proving that AI can master not just games of logic but also the nuanced, tactile demands of Olympic-level athletic performance.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Korea University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago