AI Research
Robust Task-Aware State Estimation from Pre-trained Perception
A research focus on handling uncertain predictions from pretrained perception models
Agents that perform state estimation using pretrained perception models, e.g., Vision-Language Models (VLMs), face the fundamental challenge that predictions are uncertain.
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ArXiv CS.AI
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ArXiv CS.AI
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Uncertain predictions can make state estimation less dependable for agents that rely on pretrained perception models. Making estimation robust and task-aware addresses a central challenge in using these models for agent behavior.
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