Abstract:
The number of people attending virtual meetings has increased as a result of COVID-19. In this paper, the researchers present a system featuring an expressive humanoid social robot called QTrobot, coupled with a recommender system that uses natural language processing techniques. This system recommends images related to the presenter’s speech to the audience in real time, leveraging QTrobot’s platform capabilities, including its microphone, computational power, and Wi-Fi.
Reference:
Alcaraz, Benoît, Nina Hosseini-Kivanani, and Amro Najjar. “IRRMA: An Image Recommender Robot Meeting Assistant.” International Conference on Practical Applications of Agents and Multi-Agent Systems. Cham: Springer International Publishing, 2022.