Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning

Neziha Akalin, Andrey Kiselev, Annica Kristoffersson, Amy Loutfi


This research aims to develop an autonomous social robot for elderly individuals. The robot will learn from the interaction and change its behaviors in order to enhance the interaction and improve user experience. For this purpose, we aim to use Deep Reinforcement Learning. The robot will observe the user’s verbal and nonverbal social cues by using its camera and microphone, the reward will be positive valence and engagement of the user.


 DOI: 10.21437/AI-MHRI.2018-12

Cite as: Akalin, N., Kiselev, A., Kristoffersson, A., Loutfi, A. (2018) Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning. Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, 48-50, DOI: 10.21437/AI-MHRI.2018-12.


@inproceedings{Akalin2018,
  author={Neziha Akalin and Andrey Kiselev and Annica Kristoffersson and Amy Loutfi},
  title={ Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning},
  year=2018,
  booktitle={Proc. FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction},
  pages={48--50},
  doi={10.21437/AI-MHRI.2018-12},
  url={http://dx.doi.org/10.21437/AI-MHRI.2018-12}
}