Waseda University ICT and Robotics

Top Global University Project: Waseda Goes Global -A Plan to Build a Worldwide Academic Network
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Waseda University


Professor Yasuo Kuniyoshi

Graduate School of Information Science and Technology
University of Tokyo, Japan

Towards Open-Ended Fusion of Autonomy and Sociality for Human Centered AI/Robots via Emergence and Development From Embodied Interaction

For AI systems/robots to work for the benefits of humans with no harm or uneasiness, open-ended autonomy, sociality and their fusion are essential. In order to realize them, emergence and development from embodied interaction are required.

In this talk, I will first explain why so, and then present current state of the art of the above approach. Concrete examples of instantaneous adaptive behavior, emergent behavior and embodied brain development of simulated and real robots will be presented. A discussion on how we can proceed further follows.


Yasuo Kuniyoshi received Ph.D. from The University of Tokyo in 1991 and joined Electrotechnical Laboratory, AIST, MITI, Japan. From 1996 to 1997 he was a Visiting Scholar at MIT AI Lab. In 2001 he was appointed as an Associate Professor and then full Professor in 2005 at The University of Tokyo. He is also the Director of RIKEN CBS-Toyota Collaboration Center since 2012, the Director of Next Generation Artificial Intelligence Research Center of The University of Tokyo since 2016.

He published over 300 refereed academic papers and received IJCAI 93 Outstanding Paper Award, Gold Medal “Tokyo Techno-Forum21” Award, Best Paper Awards from Robotics Society of Japan, IEEE ROBIO T.-J. Tarn Best Paper Award in Robotics, Okawa Publications Prize, and other awards.

He is a Fellow of Robotics Society of Japan, President of Japan Society of Developmental Neuroscience and a member of IEEE, Science Council of Japan (affiliate), Japan Society of Artificial Intelligence, Information Processing Society of Japan, Japanese Society of Baby Science.

For further information about his research, visit http://www.isi.imi.i.u-tokyo.ac.jp/ and https://www.ai.u-tokyo.ac.jp/