Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience.

Augello, A., Infantino, I., Manfrè, A., Pilato, G., Vella, F., Chella, A. (2016). Creation and cognition for humanoid live dancing. ROBOTICS AND AUTONOMOUS SYSTEMS, 86, 128-137 [10.1016/j.robot.2016.09.012].

Creation and cognition for humanoid live dancing

Pilato, G;Vella, F
;
CHELLA, Antonio
2016-01-01

Abstract

Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience.
2016
Augello, A., Infantino, I., Manfrè, A., Pilato, G., Vella, F., Chella, A. (2016). Creation and cognition for humanoid live dancing. ROBOTICS AND AUTONOMOUS SYSTEMS, 86, 128-137 [10.1016/j.robot.2016.09.012].
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S092188901630584X-main.pdf

Solo gestori archvio

Descrizione: Articolo principale
Tipologia: Versione Editoriale
Dimensione 2.64 MB
Formato Adobe PDF
2.64 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/220263
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 17
social impact