Robots autonomously convert LLM-guided experiences into a reusable local method library, reducing average execution time from 7.7772s to 6.7779s and LLM calls per task from 1.0 to 0.2 in repeated-task experiments.
Learning by watching: A review of video-based learning approaches for robot manipulation,
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An LLM-Driven Closed-Loop Autonomous Learning Framework for Robots Facing Uncovered Tasks in Open Environments
Robots autonomously convert LLM-guided experiences into a reusable local method library, reducing average execution time from 7.7772s to 6.7779s and LLM calls per task from 1.0 to 0.2 in repeated-task experiments.