Title: A cloud-based VR platform for the development of social intelligence through HRI
Abstract : Common sense and social interaction related to daily life environment
are quite important for autonomous robots which support human
activities. One of the practical approaches to manage the social and
semantic information of human activity is to define an ontology for a
target domain and application. However, this approach has two
high-cost difficulties: 1) Human have to perform many times in actual
fields to transfer embodied knowledge to robots, 2) Object and tool
information, which are used in the performance, should be prepared and
defined manually. In this talk, I propose a cloud-based immersive
virtual reality platform which enables virtual human-robot interaction
to collect the social and embodied knowledge of human activities in a
variety of situation, without spending a lot of time and human
resources. Through a demonstration experiment at robot competitions in
RoboCup@Home and World Robot Challenge, I will show the feasibility
and potential of the system for developing social intelligence through
human-robot interaction systems.
Bio: Tetsunari Inamura is an associate professor at the National Institute
of Informatics Japan, and SOKENDAI (The Graduate University for
Advanced Studies) Japan. His research interest is Human-Robot
Interaction System, Service Robot, Learning by Demonstration, Design
of Robot Competition, Application of VR for robotics research, and so
on. He released the SIGVerse platform for HRI research community since
2010. Recently, he organizes several competitions such as RoboCup@Home
simulation and World Robot Challenge (Partner robot challenge in
virtual space) based on the SIGVerse system. He received Funai
Academic Award, Award of Japanese Society for Artificial Intelligence
at RoboCup, OpenSource Award in RoboCup, and so on.