Robot Vision, Deep Learning, Robot Navigation
Papers and Presentations
- UKRAS2021 – An Open Source Seeding Agri-Robot (read more here).
- Member of the AgirFoRwArdS CDT Drink Outside the Box Organisation Committee.
My name is Harry, I joined the CDT in September 2020. Before this I was at the university of Lincoln completing a BSc in Computer Science looking to work in robotic software development. I am interested in robot vision, deep learning and robot navigation. During my undergraduate I published a paper about my dissertation project in which I built and programmed an agricultural robot, which dispensed seeds and was tracked via GPS.
During the MSc Robotics and Autonomous systems, I have worked part time on the BACCHUS project. This has been fun to be work on an actual project that will be deployed to have a system in a vineyard. I have also worked on a paper for ICRA Task-Informed Grasping Workshop with members from the CDT as well as the MSc. Finally, I have also helped setup the Drink Outside the Box as a member of the committee
What optimisation methods are required for DNNs on Embedded Systems?
Pest detection is becoming progressively significant throughout agriculture; pest resilience is developing into an increasingly complex issue. A Faster R-CNN will be deployed on multiple embedded systems to combat this with varying optimisations to conclude what optimisations are required for deployment on embedded systems. The Deep Neural Network (DNN) will be optimised with hyperparameter tuning, quantisation, and a novel custom pruning method. There will be conclusions drawn to show what optimisation methods are required for each embedded system with benefits and drawbacks.