Biography
Matt’s research centres on robustly intelligent sensing which is nevertheless introspective where unavoidably fallible.
He therefore develops techniques for auditable action from autonomous vehicles in formidable environments.
Specifically, Matt works on navigation and scene understanding, including mapping, localisation, detection, and segmentation. Across all of these autonomy-enabling tasks, he is particularly interested in bolstering vision and LiDAR and is in parallel an enthusiastic adopter of scanning radar.
Matt won the FirstRand Laurie Dippenaar and Oppenheimer Memorial Trust scholarships (2013) to pursue his doctoral research, which was concerned with distributed but concerted action amongst fleets of intelligent mobile machines which are navigating visually around a changing world.
Matt teaches across the first and second year in Circuit Analysis, Active Devices, Digital Electronics, Control, and Communications (P2/A2) as well as Electrical Machines, Power Electronics, and Power Networks (A4).
Positions
- Lecturer in Engineering Science
- Junior Research Fellow, Kellogg College
- Postdoctoral Research Assistant, Mobile Robotics Group and Oxford Robotics Institute
Subjects
- Engineering
