Title: Deep leaning Models for Applications in Robotics
Abstract : This talk will introduce the examples of our recent collaborative studies
with multiple companies in robots with deep learning models. They include the
learning model of whole body motions of humanoids, collaboration with human in
assembling task, learning of weighing task of various materials using self-training
process etc.
Bio: Tetsuya Ogata (M’00) received the B.S., M.S., and D.E. degrees in mechanical
engineering from Waseda University, Tokyo, Japan, in 1993, 1995, and 2000,
respectively., He was a Research Associate with Waseda University, a Research
Scientist with the RIKEN Brain Science Institute, anb an Associate Professor with
the Graduate School of Informatics, Kyoto University. He has been a Professor with
the Faculty of Science and Engineering, Waseda University. He is currently a Joint-
Appointed Fellow with the Artificial Intelligence Research Center, National
Institute of Advanced Industrial Science and Technology. His research interests
include human-robot interaction, dynamics of human-robot mutual adaptation, and
inter-sensory translation in robot systems with neuro-dynamical (deep learning)
models.