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Personalized and Robust Proactive Robot Assistance with Uncertainty-Guided LLM Reasoning
Proactive robot assistance in household environments requires accurate prediction of human activities and object usage under dynamic and noisy conditions. Existing approaches often rely on complex spatio-temporal models, which can be computationally expensive and sensitive to environmental variabili
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