Adaptation and interaction in mobile service robots

Project description

We research Artificial Intelligence (AI) for autonomy in service robots, meant to aid humans at work and at home. We strive to make autonomous robots a widespread technology, and become part of our everyday life. A great challenge for mobile robots is to interact, communicate, and collaborate with humans effectively.

In this project, we will look into automated reasoning and machine learning to let autonomous robots learn from, and adapt to, different users in different environments.  We will explore several modalities of interaction (speech, gesture, kinesthetic teaching, etc.) with the goal of having the robot learn the most effective way to communicate, and actively gather knowledge or get help from humans in a natural way.

Entry requirements

Applications are invited from candidates with a minimum of a UK upper second class honours degree (2:1), and/ or a Master's degree in a relevant subject. We also recognise relevant industrial and academic experience.

How to apply

Formal applications for research degree study should be made online through the university's website. Please state clearly in the research information section of your application, the name of the PhD you wish to apply for is 'Adaptation and interaction in mobile service robots' as well as Dr Matteo Leonetti as your proposed supervisor. In the funding section, please state 'School of Computing Funded Studentships' as your sponsor.

If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.

We welcome scholarship applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates.  All scholarships will be awarded on the basis of merit.

If you require any further information please contact the Graduate School Office
e:, t: +44 (0)113 343 8000.