Title
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Date Issued
01 August 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Yang P.C.
Al-Sada M.
Chiu C.C.
Kuo K.
Tomo T.P.
Suzuki K.
Shu K.H.
Ogata T.
Waseda University
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Japanese character figurines are popular and have a pivot position in Otaku culture. Although numerous robots have been developed, few have focused on otaku-culture or on embodying anime character figurines. Therefore, we take the first steps to bridge this gap by developing Hatsuki, which is a humanoid robot platform with anime based design. Hatsuki's novelty lies in its aesthetic design, 2D facial expressions, and anime-style behaviors that allows Hatsuki to deliver rich interaction experiences resembling anime-characters. We explain our design implementation process of Hatsuki, followed by our evaluations. In order to explore user impressions and opinions towards Hatsuki, we conducted a questionnaire in the world's largest anime-figurine event. The results indicate that participants were generally very satisfied with Hatsuki's design, and proposed various use case scenarios and deployment contexts for Hatsuki. The second evaluation focused on imitation learning, as such a method can provide better interaction ability in the real world and generate rich, context-adaptive behaviors in different situations. We made Hatsuki learn 11 actions, combining voice, facial expressions and motions, through the neural network based policy model with our proposed interface. Results show our approach was successfully able to generate the actions through self-organized contexts, which shows the potential for generalizing our approach in further actions under different contexts. Lastly, we present our future research direction for Hatsuki and provide our conclusion.
Start page
384
End page
391
Language
English
OCDE Knowledge area
Robótica, Control automático
IngenierÃa de sistemas y comunicaciones
Scopus EID
2-s2.0-85095787393
ISBN of the container
978-172816075-7
Conference
29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
Sponsor(s)
Core Research for Evolutional Science and Technology - JPMJCR15E3
This work was supported by JST CREST Grant Number: JPMJCR15E3.
Sources of information:
Directorio de Producción CientÃfica
Scopus