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

Yasuhisa Hirata, Tomohiro Hayashi, Takahiro Takeda, Kazuhiro Kosuge, Zhi Dong Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2005 IEEE International Conference on Robotics and Biomimetics, ROBIO
PublisherIEEE Computer Society
Pages523-528
Number of pages6
ISBN (Print)0780393155, 9780780393158
DOIs
Publication statusPublished - 2005 Jan 1
Event2005 IEEE International Conference on Robotics and Biomimetics, ROBIO - Shatin, N.T., China
Duration: 2005 Jul 52005 Jul 9

Publication series

Name2005 IEEE International Conference on Robotics and Biomimetics, ROBIO
Volume2005

Other

Other2005 IEEE International Conference on Robotics and Biomimetics, ROBIO
CountryChina
CityShatin, N.T.
Period05/7/505/7/9

Keywords

  • Ballroom dance
  • CAST
  • MS DanceR
  • Mobile robot
  • Neural network

ASJC Scopus subject areas

  • Engineering(all)

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