Awesome-LLM-Robotics  by GT-RIPL

This repository is a curated list of research papers, code, and resources at the intersection of Large Language Models (LLMs) and Robotics. It serves as a comprehensive reference for researchers and practitioners exploring the application of LLMs for robot reasoning, planning, manipulation, and navigation.

How It Works

The repository organizes papers into categories such as Surveys, Reasoning, Planning, Manipulation, and Simulation Frameworks. Each entry typically includes a title, publication venue, date, and links to the paper, associated code, and project websites. This structure facilitates easy discovery and access to relevant research in the rapidly evolving field of LLM-powered robotics.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required.

Highlighted Details

• Comprehensive coverage of papers from 2020 to the present, with a focus on recent advancements.
• Categorization by application area (e.g., Reasoning, Manipulation, Navigation) and specific themes (e.g., Safety, Simulation).
• Links to associated code repositories and project websites for many entries, enabling direct exploration of implementations.
• Includes foundational papers and recent surveys, providing both historical context and state-of-the-art overviews.

Maintenance & Community

The repository is maintained by GT-RIPL and encourages community contributions via pull requests or email. The structure suggests active curation, though specific contributor details or community channels (like Discord/Slack) are not explicitly mentioned.

Licensing & Compatibility

The content is presented as a list of research papers and is not subject to software licensing. Individual papers and code repositories will have their own licenses.

Limitations & Caveats

As a curated list, its comprehensiveness depends on community contributions and the curator's efforts. It does not provide direct functionality or code for robotics tasks itself.