@inproceedings{4071298fe54846be970c7a50ba34ee98,
title = "Step estimation method for dance partner robot {"}MS danceR{"} using neural network",
abstract = "In 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.",
keywords = "Ballroom dance, CAST, MS DanceR, Mobile robot, Neural network",
author = "Yasuhisa Hirata and Tomohiro Hayashi and Takahiro Takeda and Kazuhiro Kosuge and Wang, {Zhi Dong}",
year = "2005",
month = jan,
day = "1",
doi = "10.1109/robio.2005.246322",
language = "English",
isbn = "0780393155",
series = "2005 IEEE International Conference on Robotics and Biomimetics, ROBIO",
publisher = "IEEE Computer Society",
pages = "523--528",
booktitle = "2005 IEEE International Conference on Robotics and Biomimetics, ROBIO",
note = "2005 IEEE International Conference on Robotics and Biomimetics, ROBIO ; Conference date: 05-07-2005 Through 09-07-2005",
}