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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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for construction waste grasping, and further design flexible and adaptable robotic grippers for waste handling. The existing commercial robotic hand and grippers might not be able to handle irregular and heavy
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You will explore high through put experimentation through robots, nature of metal corrosion inhibitor interactions at a fundamental level and will work with 3 world class teams to integrate systems
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision