Category: Demo_Video

Presented in ORF (Open Research Forum) 2018

Current telecommunication systems have been greatly improving throughout the years. Telepresence robots are well known to give mobility to the users who cannot physically be somewhere, through the use of motion control of the robot. In such a way, they mainly function as an avatar-like robot for remote users. While these improvements enhance user experience in telecommunication, telepresence robots must be aware of the conversation context to compensate for the multiple difficulties in remote communication. We propose an emotion-emphasizing telecommunication system utilizing Manga-Effects, aimed to enhance users’ communication quality.

Presented in ORF (Open Research Forum) 2018

The miniaturization and decreasing cost of networking computers, along with the advancement of cloud infrastructure has eased the implementation of it in products for manufacturers. The increase in such products has led to the rise in IoT devices with information-provision function. However, it is difficult to give such function to products such as daily commodities, which lack technical devices in which gives a wealth of computational resources.

We propose the v-IoT system, which adds information-giving functions to those non-computing device, using Mixed Reality technology. This system enables appropriate things to give adequate information at the right timing.

Presented in ORF (Open Research Forum) 2018

While the age of robots is still rising in today’s society, there will soon come a day where several communication robots reside in each household. In order to differentiate each communication robot, and to make the robots likable, we develop a system that emulates the robots’ smooth and gradual personality development. Using a system model in reference to a human child’s personality development model, C2AT2HUB version 2, we demonstrate a long-term personality development.

Presented at ROMAN 2018

Presented at ORF (Open Research Forum) 2017

Inadequate variety of personalities for communication robots may cause unnatural interaction with them and reduce the sense of attachment. We propose the C ² AT ² HUB engine, where communication robots are characterized based on long-term interaction with users. In C ² AT ² HUB, robots’ characterization is assessed by the following two factors; “interpersonal affect” and “emotions.” The transition of the factors is adjusted by the history of users’ actions to robots in order to characterize the robots gradually. Through experimentation, our system proved the characterization of robots to be natural and that it improves the user impression of robots.

Presented at ORF (Open Research Forum) 2017

In the coming generations where robots are constantly connected to a network, various functions can be applied to these robots. Examples can be communication between the machines (M2M), communication for services (M2S), and ubiquitous service devices. We call these robots Sociable Robots. We create a system in which the robot is aware of the surrounding context when interacting with humans. We look upon awareness of the users’ state through facial expressions.