GitHub - GT-RIPL/Awesome-LLM-Robotics: A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
Dec 09, 2023 - github.com
The "Awesome-LLM-Robotics" repository is a curated list of academic papers that apply Large Language/Multi-Modal Models to Robotics and Reinforcement Learning. The list is organized into several categories including Reasoning, Planning, Manipulation, Instructions and Navigation, Simulation Frameworks, and Citation. Each entry includes the title of the paper, a brief description, the platform it was published on, the date of publication, and links to the paper, code, and website if available.
The repository encourages contributions from the community in the form of pull requests or emails to add more papers. It also requests users to consider citing and starring the list if they find it useful. The list is intended to be a resource for researchers and others interested in the application of large language models to robotics.
Key takeaways:
The Awesome-LLM-Robotics repository contains a curated list of papers that utilize Large Language/Multi-Modal Models for Robotics/RL.
The papers are categorized into different sections such as Reasoning, Planning, Manipulation, Instructions and Navigation, Simulation Frameworks, and Citation.
Each paper listed includes a brief description, the platform it was published on, and the date of publication. Links to the paper, code, and website (if available) are also provided.
The repository encourages contributions and asks those who find it useful to consider citing and starring the list.
