JST-CREST / IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots"

17-24 March 2019, Shonan Village, Japan

Invited Speakers

  • Takayuki Nagai, Osaka University, Japan
  • Takayuki Nagai
    Title: Integrated Cognitive Model for Developing User-Friendly Robots

    Abstract : There are many things that are not yet fully understood regarding the mechanism of human intelligence. Therefore, realization of real human-like artificial intelligence is not an easy task. However, technological progress of AI and robotics in recent years is gradually pushing this forward. Our group is interested in how such human-like intelligence can be realized by combining machine learning and robot technologies. An important element among them is prediction, and it is an important viewpoint how to self-organize multimodal information and apply it to the decision-making. In this talk, I introduce some of our projects and discuss the relationship among these projects and challenges for developing user-friendly robots.

    Bio: Takayuki Nagai received his BE, ME, and DE degrees from the Department of Electrical Engineering, Keio University, in 1993, 1995, and 1997, respectively. Since 1998, he had been with the University of Electro-Communications, and from 2018 he has been a professor of the graduate school of Engineering Science, Osaka University. From 2002 to 2003, he was a visiting scholar at the Department of Electrical Computer Engineering, University of California, San Diego. He also serves as a specially-appointed professor at UEC AIX, a visiting researcher at Tamagawa University Brain Science Institute, a visiting researcher at AIST AIRC.