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’ interoceptive sensors to form a world model of the robot. Based on this new world model, we develop a DRL agent being able to map the state of the world model to robot actions directly to perform allocated tasks
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deficits-based resulting in modest effects which, to date, have not impacted on the burden of persistent pain. The project aims to harness data from large datasets spanning multiple decades to develop new
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neurofeedback technologies to develop personalized motor imagery protocols that can improve motor function, accelerate recovery from injury, and optimize athletic performance. Through interdisciplinary
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developing novel energy production techniques. Aims This research aims to develop a deep learning framework for modeling subsurface processes involving fracture flow and chemical reactions. This framework
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the challenges of high cost, low efficiency, and poor durability. This project aims to develop a novel type of electrolyser device, called the all-perovskite inorganic anion exchange membrane water electrolyser
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observations from the Murchison Widefield Array (MWA) to develop a novel pipeline to make wide-area spectral observations from low-frequency aperture array radio telescope data. This pipeline will test new
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. Aims • Develop advanced machine learning models for proactive mental health monitoring. • Integrate generative AI techniques to provide personalized mental health support. • Employ real-time data fusion
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human encroachment on unstable land. This project aims to develop a revolutionary landslide prediction system using advanced statistical methods. Building upon a pilot study demonstrating the potential
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of leading energy storage experts and electrochemists who will work closely with the applicant to build their research capability to solve a real-world problem. Aims This project aims to develop materials
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) to explore the role and scope of practice that oral health therapists (OHTs) have in residential aged care facilities (RACFs) in Western Australia . The research findings will be used to develop interventions