I am a PhD candidate at the Australian National University and the Australian Center for Robotic Vision. My research is on Robotic Vision: image processing to allow robots to see and make sense of the world. We use novel, biologically inspired sensors called ‘event cameras’ that do not capture images using a shutter like conventional cameras. Instead, event cameras respond to per-pixel changes in brightness, reporting these changes as they occur, but staying silent otherwise. As a result, event cameras are very fast and do not suffer from motion blur or under/overexposure, enabling robots to see in a range of challenging conditions such as high speed and low light.
I completed my Master of Engineering (Mechanical) at the University of Melbourne in 2016. In 2015 I worked as a research assistant in the Fluid Dynamics lab at Melbourne before completing an exchange semester at ETH Zurich. My final year Master’s thesis was a combined project with the University of Melbourne and The Northern Hospital, performing computational fluid dynamics studies on patient-specific coronary arteries under the supervision of Andrew Ooi.
In 2017 I commenced my PhD in Robotic Vision under the supervision of Rob Mahony and Nick Barnes at the ANU. My PhD topic is the development of novel optical flow algorithms capable of running in real-time for high-speed robotics applications. I am currently pursuing this research using event cameras, which are bio-inspired vision sensors with microsecond temporal resolution.
In 2018 I moved to Zurich for a 12 month research visit at the University of Zurich, Robotics and Perception Group under the supervision of Davide Scaramuzza. Here I will research image reconstruction, optical flow and deep learning with event cameras.
When I’m not doing research I enjoy playing underwater rugby!
Photo: Philipp Schmidli (Lucerne, 3 November 2018).
Event-based Vision talk slides.