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Department of Computer Science

Machine Learning and Robotics (Honda Scholarship)

Primary supervisor

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Other projects with the same supervisor


  • Directly Funded Project (Students Worldwide)

This research project has funding attached. Applications for this project are welcome from suitably qualified candidates worldwide. Funding may only be available to a limited set of nationalities and you should read the full department and project details for further information.

Project description

This project combines machine learning and cognitive robotics methods for wellbeing in human-robot interaction.
The project will develop a computational cognitive architecture of Theory of Mind, i.e. the capability to understand that other people have mental states. . This cognitive architecture will endow the robot with the capability to observe the motor, physical and social behaviour of the individuals and to identify their intention (i.e. goal of the individual in the collaborative task). As parts of the interaction will concern social wellbeing and cohesion, the robot???s ToM will also identify the individuals??? contribution to the social group cohesion task. This will allow the robot to learn from interaction with individuals and the group, so that it can adaptively select new actions specific for the current behaviour.

The applicants needs a BSc/Master on computer science, AI or related disciplines.

Person specification

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Applicants will be required to evidence the following skills and qualifications.

  • You must be capable of performing at a very high level.
  • You must have a self-driven interest in uncovering and solving unknown problems and be able to work hard and creatively without constant supervision.


Applicants will be required to evidence the following skills and qualifications.

  • You will have good time management.
  • You will possess determination (which is often more important than qualifications) although you'll need a good amount of both.


Applicants will be required to address the following.

  • Comment on your transcript/predicted degree marks, outlining both strong and weak points.
  • Discuss your final year Undergraduate project work - and if appropriate your MSc project work.
  • How well does your previous study prepare you for undertaking Postgraduate Research?
  • Why do you believe you are suitable for doing Postgraduate Research?