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20242026
most citedAnticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments

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cs.RO2026

Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning

Yoonwoo Kim, Raghav Arora, Roberto Martín-Martín +3

Robot planning in partially observable environments, where not all objects are known or visible, is a challenging problem, as it requires reasoning under uncertainty through partia…