Design And Implementations; Education; Educational Robots; Exploratory Studies; Historic Preservation; Human Computer Interaction; Human Machine Interaction; Human Robot Interaction; Human-robot Interaction; Intangible Cultural Heritages; Inverse Kinematics; Inverse Kinematics Algorithms; Machine Design; Man Machine Systems; Neural Networks; Programming By Demon-stration; Robot Learning; Robot Programming; Robotics; Robots; Social Robotics; Social Robots;

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040022698&doi=10.1109%2fINTERCON.2017.8079713&partnerID=40&md5=1257427aacb9fd8aeb25f04e35bb7e9f

10.1109/INTERCON.2017.8079713

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.