Using LLM-predicted future chores as joint goals for a PDDL planner reduces simulated household task execution time by about 31%.
Anticipation in human-robot cooperation: A recurrent neural network approach for multiple action sequences prediction,
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Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments
Using LLM-predicted future chores as joint goals for a PDDL planner reduces simulated household task execution time by about 31%.