Intelligent Execution of Behaviors in a NAO Robot Exposed to Audiovisual Stimulus

Emotions and their intimate relationship with how humans interact with each other are currently studied as an alternative to stimulate what is called as Human-Robot Interaction (HRI). Different strategies that use emotions in robots as a central element have been developed to fulfil this goal, which has allowed the improvement of the interaction quality between a robot and a human. In this paper, different models and APIs are discussed and integrated for the processing of visual and audio stimulus in order to deliver the evoked emotions to a deterministic system and finally get the intelligent execution of behaviors in a NAO robot. The tests carried out with different case studies validated that the system responds according to the characteristics of each audiovisual stimulus and this does not have a bias towards a particular case.