# Creative Robot Dance with Variational Encoder

arXiv: https://arxiv.org/abs/1707.01489 · HTML: https://mlsanity.com/paper/1707.01489/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Jul 2017.

## Built on by (most cited first, 3 of 3)

- [Embodiment and Computational Creativity](https://mlsanity.com/paper/2107.00949/) (2021)
- [Intentional Choreography with Semi-Supervised Recurrent VAEs](https://mlsanity.com/paper/2209.10010/) (2022)
- [May the Dance be with You: Dance Generation Framework for Non-Humanoids](https://mlsanity.com/paper/2405.19743/) (2024)

## Abstract (arXiv)

What we appreciate in dance is the ability of people to sponta- neously improvise new movements and choreographies, sur- rendering to the music rhythm, being inspired by the cur- rent perceptions and sensations and by previous experiences, deeply stored in their memory. Like other human abilities, this, of course, is challenging to reproduce in an artificial entity such as a robot. Recent generations of anthropomor- phic robots, the so-called humanoids, however, exhibit more and more sophisticated skills and raised the interest in robotic communities to design and experiment systems devoted to automatic dance generation. In this work, we highlight the importance to model a computational creativity behavior in dancing robots to avoid a mere execution of preprogrammed dances. In particular, we exploit a deep learning approach that allows a robot to generate in real time new dancing move- ments according to to the listened music.