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

Modern quantum chemistry algorithms are increasingly able to accurately predict molecular
properties that are useful for chemists in research and education. Despite this progress …

As more robots are being deployed into human environments, a human-aware navigation
planner needs to handle multiple contexts that occur in indoor and outdoor environments. In …

This paper evaluates the extent to which current Large Language Models (LLMs) can
capture task-oriented multi-party conversations (MPCs). We have recorded and transcribed …

We have deployed an LLM-based spoken dialogue system in a real hospital. The ARI social
robot embodies our system, which patients and their companions can have multi-party …

People are increasingly encountering robots in public spaces. To increase the robustness of
such in-the-wild robotic applications and to achieve their designed outcomes, existing …

There have been incredible advancements in robotics and spoken dialogue systems (SDSs)
over the past few years, yet we still don't find social robots in public spaces like train stations …

We are developing a social robot that will be deployed in a large, recently-built university
building designed for learning and teaching. We outline the design process for this robot …

Robots need to explain their behavior to gain trust. Existing research has focused on
explaining a robot's current behavior, yet it remains unknown yet challenging how to provide …

Emotions are reactions that can be expressed through a variety of social signals. For
example, anger can be expressed through a scowl, narrowed eyes, a long stare, or many …