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Overcoming Motor-Rate Limitations in Online Synchronized Robot Dancing

Catarina B. Santiago, João Lobato Oliveira, Luís Paulo Reis, Armando Sousa, Fabien Gouyon

Year
2012
Citations
4
Access
Open access

Abstract

We propose an online sensorimotor architecture for controlling a low-cost humanoid robot to perform dance movements synchronized with musical stimuli. The proposed architecture attempts to overcome the robot's motor constraints by adjusting the velocity of its actuators and inter-changing the attended beat metrical-level on-the-fly. Moreover, we propose quantitative metrics for measuring the level of beatsynchrony of the generated robot dancing motion and complement them with a qualitative survey about several aspects of the demonstrated robot dance performances. Tests with different dance movements and musical pieces demonstrated satisfactory beat-synchrony results despite the physical limitations of the robot. The comparison against robot dance sequences generated without inter-changing the attended metrical-level validated our sensorimotor approach for controlling beat-synchronous robot dancing motions using different dance movements and facing distinct musical tempo conditions.

Keywords

DanceRobotComputer scienceBeat (acoustics)Artificial intelligenceHumanoid robotMusicalComputer visionHuman–computer interactionAcoustics

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