Computer vision, machine learning, and autonomous vehicles.
Other Activities and Outputs
- Represented the CDT at the Douglas Bomford Trust bi-annual meeting (Mar 2022)
My name is Emlyn and I’m from Anglesey in North Wales, before joining the CDT I was studying mechanical engineering at the University of Leeds. In my spare time I enjoy sailing, pub quizzes, playing guitar and watching films.
I was looking forward to joining the CDT and am excited to learn more about robotics and artificial intelligence before choosing my project. I chose the CDT because I think that increasing autonomy in agriculture is an important step in increasing food security. Coming from an area where most of the land is used for agriculture, I am interested in learning how that land could be used more efficiently.
Inverse Reinforcement Learning Applied to the Correspondence Problem
In Learning from Demonstration (LfD), the correspondence (or cross embodiment) problem is the problem of mapping between a demonstrator and a dissimilar learner. This project aims to explore how Inverse Reinforcement Learning (IRL) can be used to learn a reward function that is independent of the embodiment performing the demonstration, and to use this reward function to teach a real robot to perform a task.
Title to be confirmed