EPSRC Centre for Doctoral Training in Agri-Food Robotics: AgriFoRwArdS - Kyle Fogarty

Kyle Fogarty

  • University of Cambridge

Research Interests

Development of long-term autonomy for robotics, the theoretical development and practical application of computer vision, computer graphics, and machine learning techniques.



  • EPSRC CDT in Modelling of Heterogeneous Systems – HetSys – Computational Toolkit Seminar Series (2022): An Introduction to Uncertainty Quantification.
  • EPSRC CDT in Modelling of Heterogeneous Systems – HetSys – Computational Toolkit Seminar Series (2022): Monte Carlo methods for Uncertainty Quantification.
  • International Computer Music Conference 2022: Towards Open Source Hardware Robotic Woodwind: an Internal Duct Flute Player.


  • AgriFoRwArdS CDT Annual Conference (2022): Surface reconstruction of point clouds.

About me

My name is Kyle, and I am excited to have joined the AgriFoRwArdS CDT community in October 2021. Before joining the CDT, I studied for an integrated master’s degree in Mathematics and Physics at the University of Manchester, concentrating on the areas of scientific computing, uncertainty quantification, and statistical physics. While in Manchester I also had the opportunity to undertake a research project on Bragg-edge neutron strain imaging, where I used data collected at the IMAT instrument at ISIS, UK, to map the residual strain within a strained material. I am looking forward to applying the knowledge and skills I gained in Manchester to the difficult challenges that present themselves in agri-food robotics.

I was born in Lincoln and grew up in a small town not too far away, and I am very much looking forward to being back in this beautiful, quaint, city. After I complete my studies in Lincoln, I will be moving to study my PhD at the University of Cambridge in the department of computer science and technology under the supervision of Dr Cengiz Öztireli.

Away from academia, I like to stay active, going to the gym and running. I also really enjoy travelling, both exploring new cities around the UK, with York being one of my recent favourites, and exploring the hills and valleys when hiking.

MSc Project

Surface reconstruction of point clouds

The ability to accurately perceive and model natural structures is a central consideration of many robotic applications in agriculture. While point clouds offer a flexible representation of 3D geometry and constitute the raw output of many sensors, reconstructing a continuous surface from a discrete point set is often desirable. In this project, we propose a novel neural-based algorithm for surface reconstruction that leverages the representation power of neural networks to produce high fidelity models of natural structures.

PhD Project

Title to be confirmed