Stephen Hausler is a PhD Student and Research Assistant working at the intersection of autonomous navigation and neuroscience. The objective of his research is to develop bio-inspired algorithms to enable robots to navigate autonomously, even in very challenging environmental conditions.
Stephen graduated from QUT with a Bachelor of Engineering with First Class Honours, majoring in Electrical Engineering, back in 2013. Since then, he has worked as both an Electronics Technician and an Electrical Engineer in a variety of roles and locations, including fly-in fly-out mining and industrial fertiliser manufacturing facilities. He began his PhD in 2018 and since then has published two journal articles and presented at several conferences.
He was also a grand finalist in the 2020 QUT Three Minute Thesis competition and has also been working as a Research Assistant on a collaborative project between QUT, iMOVE Australia, RACQ and TMR.
1) Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods: https://ieeexplore-ieee-org.ezp01.library.qut.edu.au/document/8638528
2) Bio-inspired multi-scale fusion: https://link.springer.com/article/10.1007/s00422-020-00831-z
3) Filter Early, Match Late: Improving Network-Based Visual Place Recognition: https://ieeexplore-ieee-org.ezp01.library.qut.edu.au/document/8967783