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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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This scholarship is supported through the Australian Research Council (ARC) Discovery Project, DP250103137 - Moving with Robots. It is led by Professor John McCormick at Swinburne University of Technology in
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Social Science PhD Opportunity on Home Helper Robots Job No.: 678806 Location: Caulfield campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years (fulltime
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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness
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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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recipient, you will have the opportunity to work with a team of leading researchers, to undertake your own innovative research in and across the field of robotics within QUT's Centre for Robotics , which has
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. Specific projects seeking applications are: Accelerating the discovery of inorganic solar-cell materials via a closed-loop, fully robotic synthesis–characterisation platform driven by multi-agent machine
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, electronic, robotic and software engineering skills to develop and evaluate machine vision-based algorithms for automated plant care in a controlled environment with artificial lighting. Relevant tasks will
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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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scientific data from seabed, communications between underwater robots and vehicles. However, the performance of underwater acoustic communication is restricted by time and frequency variation, reverberation