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Sean McMahon

Sean McMahon

Sean graduated from the Queensland University of Technology (QUT) with a Bachelor of Engineering, majoring in Mechatronics with honours in 2014. He joined the Centre in 2015 and his  research focused on visual affordance detection for improved robotic perceptual understanding in unconstrained environments. A key application area for his research is hazard detection on construction sites. This is because hazards are defined by their of affordance rather than their object type; for example, a ladder leaning against a wall is less of a trip hazard compared to a ladder lying horizontally on the ground. Sean won best 3 minute thesis presentation at the Centre’s Robovis symposium in 2016 and has undertaken numerous teaching roles in advanced robotics and microprocessor courses. He submitted his PhD thesis for examination in 2018 and started a 3 month internship in the robotics Research and Development area of construction company Laing O’Rourke in Sydney. In June 2019, he was awarded his PhD titled “Direct Visual Hazard Affordance Detection.”

Australian Centre for Robotic Vision
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