Dong-Ok Won
Papers
2
Total Citations
103
H-Index
2
About
Dong-Ok Won is a pioneering researcher in artificial intelligence and robotics, best known for bridging the gap between simulated AI and real-world physical performance. His primary research areas include deep reinforcement learning, robotic control systems, and intelligent decision-making for dynamic environments. Won’s most celebrated contribution is the development of “Curly,” an AI-based curling robot that competes on real-world ice sheets, not just in virtual simulations. His landmark 2020 paper, “An adaptive deep reinforcement learning framework enables curling robots with human-like performance in real-world conditions,” has garnered 94 citations and demonstrates how his system can defeat top-ranked human curling teams. This work represents a major breakthrough in transferring AI strategies from controlled labs to unpredictable, real-world athletic competition. Earlier, his 2018 paper on Curly (9 citations) established the foundational system integrating an AI strategy engine with physical curling mechanics. Won’s research has profound implications for robotics, sports science, and autonomous systems, showing that AI can achieve human-like dexterity and tactical reasoning under real-world constraints. His achievements highlight the future of intelligent machines operating seamlessly alongside humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2