Creation and cognition for humanoid live dancing

Antonio Chella, Agnese Augello, Antonio Chella, Giovanni Pilato, Adriano Manfrè, Ignazio Infantino, Filippo Vella

Risultato della ricerca: Articlepeer review

18 Citazioni (Scopus)

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.
Lingua originaleEnglish
pagine (da-a)128-137
Numero di pagine10
RivistaRobotics and Autonomous Systems
Volume86
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • ???subjectarea.asjc.2600.2600???
  • Computer Science Applications

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