Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning
Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning explores CoCo-TAMP uses large language models to enhance robotic planning in environments with partial observability by incorporating common-sense knowledge for efficient task execution.. Commercial viability score: 7/10 in Robotics and Planning.
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