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Awesome-LLM-Robotics 
This repo contains a curative list of papers using Large Language/Multi-Modal Models for Robotics/RL. Template from awesome-Implicit-NeRF-Robotics
Please feel free to send me pull requests or email to add papers! Please make sure to put in reverse chronological order and follow the format carefully!
If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others!
Overview
Surveys
- "Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses", arXiv, May 2026, [Paper] [Website]
- "A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings", IJCAI, Aug 2024, [Paper]
- "A Superalignment Framework in Autonomous Driving with Large Language Models", arXiv, Jun 2024, [Paper]
- "Neural Scaling Laws for Embodied AI", arXiv, May 2024. [Paper]
- "On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)", ICAPS, May 2024, [Paper] [Website]
- "Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis", arXiv, Dec 2023. [Paper] [Paper List] [Website]
- "Language-conditioned Learning for Robotic Manipulation: A Survey", arXiv, Dec 2023, [Paper]
- "Foundation Models in Robotics: Applications, Challenges, and the Future", arXiv, Dec 2023, [Paper] [Paper List]
- "Robot Learning in the Era of Foundation Models: A Survey", arXiv, Nov 2023, [Paper]
- "The Development of LLMs for Embodied Navigation", arXiv, Nov 2023, [Paper]
Reasoning
- RoboTracer: "RoboTracer: Mastering Spatial Trace with Reasoning in Vision-Language Models for Robotics", arXiv, Dec 2025. [Paper] [Code] [Website]
- RoboRefer: "RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics", arXiv, June 2025. [Paper] [Code] [Website]
- RoboSpatial: "RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics", CVPR, June 2025. [Paper] [Code] [Website]
- RobotxR1: "RobotxR1: Enabling Embodied Robotic Intelligence on Large Language Models through Closed-Loop Reinforcement Learning", arXiv, May 2025. [Paper]
- SPINE: "SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments", International Conference on Robotics and Automation (ICRA), May 2025. [Paper] [Website]
- ELLMER: "Embodied large language models enable robots to complete long-horizon tasks in unpredictable settings", Nature Machine Intelligence, Mar 2025. [Paper] [Website]
- AHA: "AHA: A Vision-Language-Model for Detecting and Reasoning over Failures in Robotic Manipulation", arXiv, Oct 2024. [Paper] [Website]
Planning
- FLARE: "Multi-Modal Grounded Planning and Efficient Replanning For Learning Embodied Agents with a Few Examples", AAAI, Mar 2025. [Paper] [Code]
- LLM+MAP: "LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language", arxiv, Mar 2025. [Paper] [Code]
- Code-as-Monitor: "Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection", CVPR, 2025. [[Paper](https://ar
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