• DocumentCode
    3483059
  • Title

    Autonomous Humanoid Robot Dance Generation System based on real-time music input

  • Author

    Ju-Hwan Seo ; Jeong-Yean Yang ; Jaewoo Kim ; Dong-Soo Kwon

  • Author_Institution
    Dept. of Mech. Eng., KAIST(Korea Adv. Inst. of Sci. & Technol.), Daejeon, South Korea
  • fYear
    2013
  • fDate
    26-29 Aug. 2013
  • Firstpage
    204
  • Lastpage
    209
  • Abstract
    There have been many attempts made by companies and researchers to make people feel more familiar with robots. As one example, Dance performance of Entertainment Robot could conceivably provide an event that would be seen easily in a public place. In most cases, however, programmers´ and researchers´ workload, if they were to attempt to program dance motions for a robot and synchronize them, would be too heavy. In addition, pre-programmed dance motion and synchronization information are useful only for one certain music and are useless for any other music input. To solve these problems, we have introduced a new system that can make a robot dance automatically with real-time music input. The system consists of two main parts: the first is a real-time beat extraction system for music; the second one is a system of dance motion for a humanoid robot. In the first part, music input is analyzed using FFT and peak-to-peak time duration in the low frequency area is computed. In the second part, the process of making and synchronizing the dance motion of the humanoid robot is described. Finally, we perform experiments to check the validity of the proposed system. Also, limitations and further work are described.
  • Keywords
    fast Fourier transforms; humanities; humanoid robots; mobile robots; motion control; music; real-time systems; robot programming; synchronisation; FFT; autonomous humanoid robot dance generation system; dance performance; entertainment robot; preprogrammed dance motion; public place; real-time beat extraction system; real-time music input; researcher workload; synchronization information; Head; Humanoid robots; Noise; Real-time systems; Synchronization; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RO-MAN, 2013 IEEE
  • Conference_Location
    Gyeongju
  • ISSN
    1944-9445
  • Type

    conf

  • DOI
    10.1109/ROMAN.2013.6628446
  • Filename
    6628446