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, and act . The project will examine questions around multimodal representation learning, temporal modelling, predictive learning, uncertainty, memory, action-conditioned prediction, and human-aware
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, latency, memory use, computational cost, and behaviour under realistic operating conditions. The broader goal is to move towards embodied AI systems that can make better decisions about what they know
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