affective computing

Join the Group

Enable robots to navigate in social enviroment around groups

Behavioural Analysis in HRI

Understanding human actions, intentions is key

Find Your Voice

Helping children's language understanding through joke telling with home assistant

Machine Learning for Social Interaction Modelling

Context The field of social human-robot interaction is growing. Understanding how communication between humans (human-human) generalises during human-robot communication is crucial in building fluent and enjoyable interactions with social robots. Everyday, more datasets that feature social interaction between humans and between humans and robots are made freely available online. In this project we propose to take a data-driven approach to build predictive models of social interactions between humans (HH) ( and between humans and robots (HR) interaction using 3 different datasets.