Personalization and localization are important when developing social robots for different
sectors, including education, industry, healthcare or restaurants. This allows for an …

Gestures, a form of body language, significantly influence how users perceive humanoid
robots. Recent data-driven methods for co-speech gestures have successfully enhanced the …

In the EU-funded MuMMER project, we have developed a social robot designed to interact
naturally and flexibly with users in public spaces such as a shopping mall. We present the …

This work analyses the relationship between the way robots gesture and the way those
gestures are perceived by human users. In particular, this work shows how modifying the …

As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has
become critical for transparency and trust among users. A significant challenge in XAI is …

Social robots are becoming increasingly present in our daily lives and will continue to be
integrated into society to help people with their daily routines. In this paper, we create a …

As a type of body language, gestures can largely affect the impressions of human-like robots
perceived by users. Recent data-driven approaches to the generation of co-speech gestures …

Robotic personalities broaden the social dimension of an agent creating feelings of comfort
in humans. In this work, we propose a taxonomy model to generate synthetic personalities …

Within restaurant settings, robotic assistants are required to interact with different users in
different scenarios. Adaptive behavior is essential when providing quality services …

Social robots made to interact with humans have increasingly entered various domains in
recent years. For example, they support patients in elderly care, treat children with autism or …