TY - GEN
T1 - HATSUKI
T2 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
AU - Yang, Pin Chu
AU - Al-Sada, Mohammed
AU - Chiu, Chang Chieh
AU - Kuo, Kevin
AU - Tomo, Tito Pradhono
AU - Suzuki, Kanata
AU - Yalta, Nelson
AU - Shu, Kuo Hao
AU - Ogata, Tetsuya
N1 - Funding Information:
This work was supported by JST CREST Grant Number: JPMJCR15E3.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85095787393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85095787393&partnerID=8YFLogxK
U2 - 10.1109/RO-MAN47096.2020.9223558
DO - 10.1109/RO-MAN47096.2020.9223558
M3 - Conference contribution
AN - SCOPUS:85095787393
T3 - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
SP - 384
EP - 391
BT - 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 31 August 2020 through 4 September 2020
ER -