Programming by demonstration for the teaching and preservation of intangible cultural heritage

The present research describes the design and implementation of a programming by demonstration algorithm, where data is taken from a human narrator and then processed and imitated by the social robot Nao. This has been done by the use of artificial neural networks and inverse kinematics algorithms,...

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Veröffentlicht in:2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON) S. 1 - 4
Hauptverfasser: Montalvo, Melissa, Calle-Ortiz, Eduardo
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2017
Schlagworte:
Educational robots
Elbow
Human-robot interaction
Kinematics
Neurons
Robot kinematics
Robot learning
Robot sensing systems
Trajectory
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Zusammenfassung:The present research describes the design and implementation of a programming by demonstration algorithm, where data is taken from a human narrator and then processed and imitated by the social robot Nao. This has been done by the use of artificial neural networks and inverse kinematics algorithms, resulting in a 7.25% trajectory difference when comparing the instructor movements with the robot learned movements. An exploratory study is also presented regarding recent advances in social robotics, affective computation, and human-machine interaction. These subjects are analyzed and an innovative way of integrating them as a tool for the narration and diffusion of legends and oral expressions in risk of disappearance is proposed. This work aims the new generations to renew their interest in traditional oral elements and actively involve them in the preservation and transmission of intangible cultural heritage.
DOI:10.1109/INTERCON.2017.8079713