システム情報系知能機能工学域の境野翔准教授が、IEEE IES Best Conference Paper Awardを受賞しました。この賞は2021年にIEEE Industrial Electronics Societyで発表された全カンファレンス論文において最も優れた論文に対して与えられるものです。
受賞対象論文
Sho Sakaino: “Bilateral Control-Based Imitation Learning for Velocity-Controlled Robot,” in Proceedings of the 30th IEEE International Symposium on Industrial Electronics, pp. 1-6, 2021.
Associate Professor Sho Sakaino (Department of Intelligent Interaction Technologies) received IEEE IES Best Conference Paper Award. The award was given to the best conference paper published in IEEE Industrial Electronics Society in 2021
Awarded paper:
Sho Sakaino: “Bilateral Control-Based Imitation Learning for Velocity-Controlled Robot,” in Proceedings of the 30th IEEE International Symposium on Industrial Electronics, pp. 1-6, 2021.