Paper co-authored by Mr. Aktas, Prof. Ugur, and Project Prof. Nagai has been accepted in IEEE Robotics and Automation Letters

    • A paper co-authored by Mr. Aktas, an IRCN Internship Student, Prof. Ugur, an IRCN Guest Researcher, and Project Prof. Nagai has been accepted in IEEE Robotics and Automation Letters. The paper presents a neural network for correspondence learning between morphologically different robots.

    • Hakan Aktas, Yukie Nagai, Minoru Asada, Erhan Oztop, and Emre Ugur, “Correspondence Learning Between Morphologically Different Robots via Task Demonstrations,” IEEE Robotics and Automation Letters, 9(5):4463-4470, May 2024.
      [HP]
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