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Robot dancing: What makes a dance?

journal contribution
posted on 01.08.2012, 08:52 by Ibrahim S. Tholley, Qinggang Meng, Paul Chung
In this paper, we investigate the mechanics of dance for humans that can be applied to robots, in an attempt to make dancing robots learn the fundamentals of dance, and improve their dancing. We provide a conceptual definition of ‘dance’ and ‘movement’ to make robot dancers form their own movements to music. We used a virtual robot dog to experiment on our conceptual definitions, and human subjects to give their feedback on the robot’s dancing. Experimental results show that the robot learns (using reinforcement learning) our conceptual definition of ‘dance’ and that a dance that has structure and fundamental joint movements, improves the dancing.

History

School

  • Science

Department

  • Computer Science

Citation

THOLLEY, I.S., MENG, Q. and CHUNG, P.W.H., 2012. Robot dancing: What makes a dance. Advanced Materials Research, 403-408, pp. 4901 - 4909.

Publisher

© Trans Tech Publications

Version

VoR (Version of Record)

Publication date

2012

Notes

This article is closed access. It was published in the journal Advanced Materials Research: http://www.scientific.net/AMR It was originally presented as a conference paper and published in the Proceedings of IEEE International Conference on Control, Robotics and Cybernetics, 2011, pp. 53 - 58.

ISSN

1022-6680

Language

en

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