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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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the social, cognitive, and communicative skills needed to autonomously engage in meaningful, long-term human-robot interactions. Project overview: Social robots are designed to be competent partners that help
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ecosystem interactions. If used wisely for decision-support, these technologies can help select and implement effective policies. This PhD project, jointly offered by Monash University (Australia) and
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We seek to explore opportunities and challenges for the use of Extended Reality (XR) technologies (including augmented and virtual reality, as well as mixed-reality interaction techniques
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teach undergraduate level courses on the following topics: palaeoclimates, environmental earth science, including sediments and interactions on the Earth surface, and introduction to Quaternary science
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a mistake in the theory? Over the past twenty years, we have shown that we can encode the theory of the tableau method into an interactive proof-assistant, such as Coq [3]. The proof-assistant checks
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frequency, assessment attempts, submission patterns, and interaction logs). The methodology consists of three key stages: Classical Baseline Modelling: Implementation of standard machine learning models (e.g
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Creating efficient and beneficial user agent interaction is a challenging problem. Challenges include improving performance and trust and reducing over and under reliance. We investigate
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Wong Research area Emerging Technologies Understanding protein structures is fundamental in food science, but traditional 2D representations often fail to convey their complex 3D shapes and interactions
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. This project will complement this self-reported measurement of feedback literacy by tracking students’ real-time interactions with feedback and providing personalised support using feedback analytics powered by