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Conference Paper: Step estimation method for dance partner robot "MS danceR" using neural network

TitleStep estimation method for dance partner robot "MS danceR" using neural network
Authors
Hirata, YasuhisaHayashi, TomohiroTakeda, TakahiroKosuge, KazuhiroWang, Zhi Dong
KeywordsNeural network
CAST
Ballroom dance
MS DanceR
Mobile robot
Issue Date2005
Citation
2005 IEEE International Conference on Robotics and Biomimetics, ROBIO, 2005, v. 2005, p. 523-528 How to Cite?
DOI: http://dx.doi.org/10.1109/robio.2005.246322
AbstractIn this paper, we propose a dance partner robot referred to as MS DanceR (Mobile Smart Dance Robot) which has been developed as platform for realizing the effective human-robot coordination with physical interaction. MS DanceR consists of an omni-directional mobile base and Body Force Sensor, which is a force/torque sensor installed between the mobile base and the body of the robot. A human could dance a ballroom dance together with MS DanceR based on a control architecture referred to as CAST (Control Architecture based-on Step Transition), in which the estimation method for the dance step is designed using neural network. CAST is applied to MS DanceR and a human dances a waltz together with MS DanceR experimentally. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/302771

 

DC FieldValueLanguage
dc.contributor.authorHirata, Yasuhisa-
dc.contributor.authorHayashi, Tomohiro-
dc.contributor.authorTakeda, Takahiro-
dc.contributor.authorKosuge, Kazuhiro-
dc.contributor.authorWang, Zhi Dong-
dc.date.accessioned2021-09-07T08:42:33Z-
dc.date.available2021-09-07T08:42:33Z-
dc.date.issued2005-
dc.identifier.citation2005 IEEE International Conference on Robotics and Biomimetics, ROBIO, 2005, v. 2005, p. 523-528-
dc.identifier.urihttp://hdl.handle.net/10722/302771-
dc.description.abstractIn this paper, we propose a dance partner robot referred to as MS DanceR (Mobile Smart Dance Robot) which has been developed as platform for realizing the effective human-robot coordination with physical interaction. MS DanceR consists of an omni-directional mobile base and Body Force Sensor, which is a force/torque sensor installed between the mobile base and the body of the robot. A human could dance a ballroom dance together with MS DanceR based on a control architecture referred to as CAST (Control Architecture based-on Step Transition), in which the estimation method for the dance step is designed using neural network. CAST is applied to MS DanceR and a human dances a waltz together with MS DanceR experimentally. © 2005 IEEE.-
dc.languageeng-
dc.relation.ispartof2005 IEEE International Conference on Robotics and Biomimetics, ROBIO-
dc.subjectNeural network-
dc.subjectCAST-
dc.subjectBallroom dance-
dc.subjectMS DanceR-
dc.subjectMobile robot-
dc.titleStep estimation method for dance partner robot "MS danceR" using neural network-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/robio.2005.246322-
dc.identifier.scopuseid_2-s2.0-33947641032-
dc.identifier.volume2005-
dc.identifier.spage523-
dc.identifier.epage528-

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