Development of Social Intelligence based on Interaction Simulation with Embodied Sensorimotor Patterns

2014 Fiscal Year Final Research Report

• Project/Area Number: 23300077
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Perception information processing/Intelligent robotics
• Research Institution: National Institute of Informatics
• Principal Investigator: INAMURA Tetsunari 国立情報学研究所, 情報学プリンシプル研究系, 准教授 (20361545)
• Co-Investigator(Renkei-kenkyūsha): HAGIWARA Yoshinobu 国立情報学研究所, 情報学プリンシプル研究系, 特任研究員 (20609416) ; TAN Jeffrey 国立情報学研究所, 情報学プリンシプル研究系, 特任研究員 (70599224)
• Project Period (FY): 2011-04-01 – 2015-03-31
• Keywords: Virtual Reality / Human-Robot Interaction / クラウドロボティクス / 機械学習

Outline of Final Research Achievements

Research on high level human-robot interaction systems that aim skill acquisition, concept learning, modification of dialogue strategy and so on requires large-scaled experience database based on social and embodied interaction experiments. However, if we use real robot systems, costs for development of robots and performing various
experiments will be too huge. If we choose virtual robot simulator, limitation arises on embodied interaction between virtual robots and real users. In this research, we developed an enhanced robot simulator that enables multiuser to connect to central simulation world, and enables users to join the virtual world through immersive user interface. As an example task, we proposed an application to RoboCup@Home tasks to confirm the feasibility of the system.

Free Research Field

知能情報学