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RESEARCH PRODUCT

Creation and cognition for humanoid live dancing

Adriano ManfréGiovanni PilatoAgnese AugelloAntonio ChellaAntonio ChellaFilippo VellaIgnazio Infantino

subject

Computational creativityComputer scienceComputational creativityGeneral MathematicsCognitive robotics02 engineering and technologyCognitive architectures03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringHidden Markov modelDancing robotSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryRoboticsCognitionCognitive architectureCognitive architectureComputer Science ApplicationsControl and Systems EngineeringEmbodied cognition020201 artificial intelligence & image processingArtificial intelligenceCognitive roboticsbusiness030217 neurology & neurosurgerySoftwareHumanoid robotCognitive robotic

description

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.

yearjournalcountryeditionlanguage
2016-12-01Robotics and Autonomous Systems
https://doi.org/10.1016/j.robot.2016.09.012