Datasets are cornerstones of research in Human-Robot Interaction (HRI) and allow researchers to structure observations for other peers to work on. These often store temporal sensitive information about the behaviour of humans and robots involved in …
While Automatic Speech Recognition (ASR) systems excel in controlled environments, challenges arise in robot-specific setups due to unique microphone requirements and added noise sources. In this paper, we create a dataset of common robot …
For social robots to be able to operate in unstructured public spaces, they need to be able to gauge complex factors such as human-robot engagement and inter-person social groups, and be able to decide how and with whom to interact. Additionally, …
Frailty is a crucial indicator in determining the well-being of older adults in terms of their health. With the growing number of elderly people, the demand for geriatricians is increasing, which means that they have less time to spend with each …
While most of the current work has been focused on developing adaptive techniques to respond to human-initiated inputs (what behaviour to perform), very few of them have explored how to proactively initiate an interaction (when to perform a given …
The success of human-robot interaction is strongly affected by the people's ability to infer others' intentions and behaviours, and the level of people's trust that others will abide by their same principles and social conventions to achieve a common …
In recent years there has been an increasing interest in deploying robotic systems in public environments able to effectively interact with people. To properly work in the wild, such systems should be robust and be able to deal with complex and …
Assitive robotics is one of the big players in the technological revolution we are living in. Expectations are extremely high but the reality is a bit more modest. We present here two realistic initiatives towards the introduction of assistive robots …