A Socially Adaptable Framework for Human-Robot Interaction

@article{Tanevska2020ASA,
  title={A Socially Adaptable Framework for Human-Robot Interaction},
  author={Ana Tanevska and Francesco Rea and Giulio Sandini and Lola Ca{\~n}amero and Alessandra Sciutti},
  journal={Frontiers in Robotics and AI},
  year={2020},
  volume={7}
}
In our everyday lives we regularly engage in complex, personalized, and adaptive interactions with our peers. To recreate the same kind of rich, human-like interactions, a social robot should be aware of our needs and affective states and continuously adapt its behavior to them. Our proposed solution is to have the robot learn how to select the behaviors that would maximize the pleasantness of the interaction for its peers. To make the robot autonomous in its decision making, this process could… 
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