Abstract
Most artificial intelligence (AI) based learning systems act in virtual or laboratory environments. Here we demonstrate an AI-based curling robot system named 'Curly' that competes on a real-world curling ice sheet. Curly encompasses (1) an AI-based curling strategy and simulation engine under consideration of the high 'icy' uncertainty, (2) the thrower robot enabled by autonomous driving with traction control, and (3) the skip robot that allows to recognize the curling field and stone configuration based on vision technology. The Curly performed well both: in classical game situations and when interacting with human opponents, namely, the top-ranked Korean amateur high school curling team.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 |
| Editors | Jerome Lang |
| Publisher | International Joint Conferences on Artificial Intelligence |
| Pages | 5883-5885 |
| Number of pages | 3 |
| Volume | 2018-July |
| ISBN (Electronic) | 9780999241127 |
| Publication status | Published - 2018 Jan 1 |
| Event | 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - Stockholm, Sweden Duration: 2018 Jul 13 → 2018 Jul 19 |
Other
| Other | 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 |
|---|---|
| Country | Sweden |
| City | Stockholm |
| Period | 18/7/13 → 18/7/19 |
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ASJC Scopus subject areas
- Artificial Intelligence
Cite this
Curly : An AI-based curling robot successfully competing in the Olympic discipline of curling. / Won, Dong Ok; Kim, Byung Do; Kim, Ho Jung; Eom, Tae San; Muller, Klaus; Lee, Seong Whan.
Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. ed. / Jerome Lang. Vol. 2018-July International Joint Conferences on Artificial Intelligence, 2018. p. 5883-5885.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Curly
T2 - An AI-based curling robot successfully competing in the Olympic discipline of curling
AU - Won, Dong Ok
AU - Kim, Byung Do
AU - Kim, Ho Jung
AU - Eom, Tae San
AU - Muller, Klaus
AU - Lee, Seong Whan
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Most artificial intelligence (AI) based learning systems act in virtual or laboratory environments. Here we demonstrate an AI-based curling robot system named 'Curly' that competes on a real-world curling ice sheet. Curly encompasses (1) an AI-based curling strategy and simulation engine under consideration of the high 'icy' uncertainty, (2) the thrower robot enabled by autonomous driving with traction control, and (3) the skip robot that allows to recognize the curling field and stone configuration based on vision technology. The Curly performed well both: in classical game situations and when interacting with human opponents, namely, the top-ranked Korean amateur high school curling team.
AB - Most artificial intelligence (AI) based learning systems act in virtual or laboratory environments. Here we demonstrate an AI-based curling robot system named 'Curly' that competes on a real-world curling ice sheet. Curly encompasses (1) an AI-based curling strategy and simulation engine under consideration of the high 'icy' uncertainty, (2) the thrower robot enabled by autonomous driving with traction control, and (3) the skip robot that allows to recognize the curling field and stone configuration based on vision technology. The Curly performed well both: in classical game situations and when interacting with human opponents, namely, the top-ranked Korean amateur high school curling team.
UR - http://www.scopus.com/inward/record.url?scp=85055686197&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85055686197&partnerID=8YFLogxK
M3 - Conference contribution
VL - 2018-July
SP - 5883
EP - 5885
BT - Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
A2 - Lang, Jerome
PB - International Joint Conferences on Artificial Intelligence
ER -