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Robot’s Delight – Japanese robots rap about their Artificial Intelligence



“Robot’s Delight – A Lyrical Exposition on Learning by Imitation from Human-Human Interaction”

This was our video submission which won Best Video at the 2017 ACM/IEEE International Conference on Human Robot Interaction (HRI 2017).

Authors: Dylan F. Glas, Malcolm Doering, Phoebe Liu, Takayuki Kanda, Hiroshi Ishiguro

Lyrics and music production: Dylan F. Glas

Camerawork and video editing: Malcolm Doering

Machine learning and robot control software: Phoebe Liu

Thanks to Jason Lim for his help with robot choreography.

Select video clips (c) 2016, IEEE. Reused, with permission.

Extended abstract: http://dl.acm.org/citation.cfm?doid=3029798.3036646

For details about the learning-by-imitation research, see our 2016 IEEE Transactions on Robotics paper:

Phoebe Liu, Dylan F. Glas, Takayuki Kanda, and Hiroshi Ishiguro, “Data-Driven HRI: Learning Social Behaviors by Example from Human-Human Interaction”, in IEEE Transactions on Robotics, Vol. 32, No. 4, pp. 988-1008, 2016.
http://dx.doi.org/10.1109/TRO.2016.2588880

Author’s preprint:
http://www.irc.atr.jp/~dylan/pdf/liu-glas-tro2016-preprint.pdf

This research was supported by the JST ERATO Ishiguro Symbiotic Human-Robot Interaction Project.

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