0000000000481642

AUTHOR

Adriano Manfré

showing 2 related works from this author

An automatic system for humanoid dance creation

2016

Abstract The paper describes a novel approach to allow a robot to dance following musical rhythm. The proposed system generates a dance for a humanoid robot through the combination of basic movements synchronized with the music. The system made up of three parts: the extraction of features from audio file, estimation of movements through the Hidden Markov Models and, finally, the generation of dance. Starting from a set of given movements, the robot choices sequence of movements a suitable Hidden Markov Model, and synchronize them processing musical input. The proposed approach has the advantage that movement execution probabilities could be changed according evaluation of the dance executi…

Computational creativityDanceRobotComputational creativityCognitive NeuroscienceExperimental and Cognitive Psychology02 engineering and technology03 medical and health sciences0302 clinical medicineArtificial IntelligenceRobustness (computer science)0202 electrical engineering electronic engineering information engineeringHidden Markov modelSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMovement (music)business.industryCognitive architectureDanceRobotCo-creative toolMusic perception020201 artificial intelligence & image processingArtificial intelligencePsychologybusiness030217 neurology & neurosurgeryHumanoid robotBiologically Inspired Cognitive Architectures
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Creation and cognition for humanoid live dancing

2016

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.

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 roboticRobotics and Autonomous Systems
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