Professor Tetsuya Ogata
Department of Intermedia Art and Science
School of Fundamental Science and Engineering
Waseda University, Japan
Deep Learning in Robots from the perspective of Cognitive Developmental Robotics
The various systems using deep learning show great performance on both recognition and generation of image, speech, language, etc. In this talk, I introduce our researches of application based on the concept of “predictive learning” for multi-modal integration and robot behavior learning, etc. I also introduce the concept of the “cognitive developmental robotics” which is the process of development of a real-world cognition mechanism to enhance the studies of deep learning with robotics.
Tetsuya Ogata received the B.S., M.S., and D.E. degrees in mechanical engineering from Waseda University, in 1993, 1995, and 2000, respectively. He was a Research Associate with Waseda University from 1999 to 2001. From 2001 to 2003, he was a Research Scientist with the RIKEN Brain Science Institute. From 2003 to 2012, he was an Associate Professor with the Graduate School of Informatics, Kyoto University. Since 2012, he has been a Professor with the Faculty of Science and Engineering, Waseda University. From 2009 to 2015, he was a JST (Japan Science and Technology Agency) PREST Researcher. He is currently a Joint-Appointed Research Fellow with the Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology. His current research interests include human-robot interaction, dynamics of human-robot mutual adaptation, and inter-sensory translation in robot systems with neuro-dynamical models. He received the IBM faculty award 2017.