A social robot that’s aware of our needs and continuously adapts its behaviour to them and has the potential of creating a complex, personalized, human-like interaction of the kind we are used to having with our peers everyday. However, adaptability, being a result of a process of learning and making errors, also brings with its uncertainty.
To explore this, in this project we will develop a cognitive architecture for PAL Robotics’ humanoid robots ARI supporting adaptability. We aim to validate its functionality and establish the benefits it could bring with respect to more traditional pre-scripted interaction protocols for robots.
In addition, situated conversations require the robot to take appropriate actions, regarding the environment and behavior of the people in it. We will validate the proposed technology in healthcare applicative scenarios, and in particular in a day hospital for users of diverse ages.