GT-RIPL/Awesome-LLM-Robotics
A curated collection of research papers on applying large language and multi-modal models to robotics and reinforcement learning tasks.

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This repository is an awesome-style curated list that aggregates academic papers on using LLMs and multi-modal models for robotics applications. It covers diverse topics including robotic reasoning, planning, manipulation, navigation, simulation frameworks, and safety considerations. The collection is organized chronologically and includes links to papers, code repositories, and related resources.