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.
Not currently ranked — collecting fresh signals.
star history
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.
Frequently asked
- What is 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.
- Is Awesome-LLM-Robotics open source?
- Yes — GT-RIPL/Awesome-LLM-Robotics is open source, released under the BSD-3-Clause license.
- How popular is Awesome-LLM-Robotics?
- GT-RIPL/Awesome-LLM-Robotics has 4.4k stars on GitHub.
- Where can I find Awesome-LLM-Robotics?
- GT-RIPL/Awesome-LLM-Robotics is on GitHub at https://github.com/GT-RIPL/Awesome-LLM-Robotics.