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
Link To Document :
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