[Symbiotic Interaction]Year Started : 2017

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Takeo Igarashi

Interaction techniques for understanding and control of data-driven inteligent information systems

Research Director
Issei Satou -
Yonghao Yue
Taichi Kin

Data-driven intelligent information processing technologies such as machine learning are growing rapidly. In this research, we develop interaction technologies to support the user to understand and control such data-driven intelligent information processing systems in preparation and annotation of training data, execution of learning, and use of the learning result in applications.

Takayuki Kanda

Human-Robot Interaction for Symbiotic Robots in a Public Space in a City.

Research Director

Since artificial intelligence and robotics technologies have recently grown fast, it is expected that diverse human works will be eventually replaced by artificial intelligence and robots. However, although many works expected to be automated in reality also play the role of bringing safety feelings to our society, the robots today are yet far from providing such safety feelings. They even fail to be morally considered. This project aims to solve this problem by providing moral interaction capability to robots, and realize a symbiotic society between people and robots.

Hideki Koike

A study on skill acquisition mechanism and development of skill transfer systems

Research Director
Junichi Rekimoto
Junichi Ushiba
Furuya Shinichi

This research develops a technology base of skill acquisition/transfer system which copies skills from one person and pastes them to the other. To understand skill acquisition mechanism, we analyse person who have high skills in various fields and abstract an essence of the skills. At the same time, we develop real-time visual/audio/haptic feedback systems of the skills using computer vision/augmented reality/robitics/artificial intelligence technologies.

Ichiro Tsuda

An exploration of the principle of emerging interactions in spatiotemporal diversity

Research Director
Yuji Kawai
Takashi Ikeda
Ikki Matsuda
Tatsuya Kameda

We aim to construct an artificial system that produces functional differentiation via interactions with complex environment in order to adapt itself quickly to the environment. For this purpose, we develop a principle of self-organization with constraints which produces functional differentiation, and explore collective intelligence in humans and primates. We conduct the research via analyses of interactions between brain areas, individuals and groups, respectively. The research results are expected to contribute to the development of order-made medical treatments, the design of interacting robots, in particular, with humans, and the creation of new format of community based on collective intelligence.

Atsushi Nakazawa

Computational and cognitive neuroscientific approaches for understanding the tender care

Research Director
Ryo Kurazume
Miwako Honda
Wataru Sato
Shogo Ishikawa
Jun Takamatsu

This project analyzes the skill of the “tender care” and finds the essential elements and models in the care through the computational and cognitive neuroscientific approaches, such as the use of a) wearable and environmental sensing and b) the brain imaging and facial electromyography. On top of these findings, we develop a system that helps learning the tender care skills through quantifying the learners’ behaviors. In the end, we evaluate the effectiveness of the system in actual care scenes.

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