lijichang/everything-llms-and-robotics

The world's largest GitHub Repository for LLMs + Robotics

Everything-LLMs-And-Robotics

The world's largest GitHub Repository for the intersection of LLMs (multimodal included!) + Robotics

Heavily Inspired by Awesome-LLM-Robotics

Logistics

If you want to make a change this repository click here

Why I made this: Go here.

What Does This Repository Have?

• Education: LLMs
• Education: Robotics
• Education: LLMs + Robotics
• Research: Reasoning
• Research: Planning
• Research: Manipulation
• Research: Instructions and Navigation
• Research: Simulation Frameworks
• Research: Perception
• Project Demos
• Thoughtful Twitter Threads
• Citation

LLMs Educational Resources

• START HERE: "Transformers from Scratch", Brandon Rohrer, [Website]

• Stanford Transformers Class: "CS25: Transformers United", Stanford, 2022, [Website]

• Andrej Karpathy GPT Tutorial: "Let's build GPT: from scratch, in code, spelled out." Andrej Karpathy, 2023 [Youtube Video]

Robotics Educational Resources

• AI-Enabled Robotics Class: "CS199: Stanford Robotics Independent Study", Stanford, 2023, [Website]

LLMs + Robotics Educational Resources

• Google's 2022 Research: "Google Research, 2022 & beyond: Robotics", Google, 2023, [Website]

• Controlling Robots Via Large Language Models: "Controlling Robots Via Large Language Models", Sanjiban Choudhury, CS 4756/5756, Cornell, 2023 [Slides]

Reasoning

• LLM Designs Robots: "CAN LARGE LANGUAGE MODELS DESIGN A ROBOT?", arXiv, Mar 2023. [Paper]

• PaLM-E: "PaLM-E: An Embodied Multimodal Language Model", arXiV, Mar 2023. [Paper] [Website] [Demo]

• RT-1: "RT-1: Robotics Transformer for Real-World Control at Scale", arXiv, Dec 2022. [Paper] [Code] [Website]

• ProgPrompt: "Generating Situated Robot Task Plans using Large Language Models", arXiv, Sept 2022. [Paper] [Code Doesn't Really Exist here] [Website]

• Code-As-Policies: "Code as Policies: Language Model Programs for Embodied Control", arXiv, Sept 2022. [Paper] [Code] [Website]

• Say-Can: "Do As I Can, Not As I Say: Grounding Language in Robotic Affordances", arXiv, Apr 2021. [Paper] [Code] [Website]

• Socratic: "Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language", arXiv, Apr 2021. [Paper] [Code] [Website]

• PIGLeT: "PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World", ACL, Jun 2021. [Paper] [Code] [Website]

Planning

• LLM-GROP: "Task and Motion Planning with Large Language Models for Object Rearrangement", arXiv, Mar 2023 [Paper]

• Bio Lab Task Planning: "LLMs can generate robotic scripts from goal-oriented instructions in biological laboratory automation", arXiv, April 2023 [Paper]

• PromptCraft Robotics: "ChatGPT for Robotics: Design Principles and Model Abilities", Microsoft, 2023, [Paper], [Website], [Code]

• CLARIFY "Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting", arXiv, March 2023 [Paper][Code][Website]

• LM-Nav: "Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action", arXiv, July 2022. [Paper] [Pytorch Code] [Website]

• InnerMonlogue: "Inner Monologue: Embodied Reasoning through Planning with Language Models", arXiv, July 2022. [Paper] [Website]

• Housekeep: "Housekeep: Tidying Virtual Households using Commonsense Reasoning", arXiv, May 2022. [Paper] [Pytorch Code] [Website]

• LID: "Pre-Trained Language Models for Interactive Decision-Making", arXiv, Feb 2022. [Paper] [Pytorch Code] [Website]

• ZSP: "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents", ICML, Jan 2022. [Paper] [Pytorch Code] [Website]

Manipulation

• MOO "Open-World Object Manipulation using Pre-trained Vision-Language Models" arXiv, March 2023 [Paper] [Website]

• TidyBot: "TidyBot: Personalized Robot Assistance with Large Language Models", arXiV, May 2023, [Paper Website Paper Website]

• DIAL:"Robotic Skill Acquistion via Instruction Augmentation with Vision-Language Models", arXiv, Nov 2022, [Paper] [Website]

• CLIP-Fields:"CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory", arXiv, Oct 2022, [Paper] [PyTorch Code] [Website]

• VIMA:"VIMA: General Robot Manipulation with Multimodal Prompts", arXiv, Oct 2022, [Paper] [Pytorch Code] [Website]

• Perceiver-Actor:"A Multi-Task Transformer for Robotic Manipulation", CoRL, Sep 2022. [Paper] [Pytorch Code] [Website]

• LaTTe: "LaTTe: Language Trajectory TransformEr", arXiv, Aug 2022. [Paper] [TensorFlow Code] [Website]

• Robots Enact Malignant Stereotypes: "Robots Enact Malignant Stereotypes", FAccT, Jun 2022. [Paper] [Website] Washington Post] [Wired] (code access on request)

• ATLA: "Leveraging Language for Accelerated Learning of Tool Manipulation", CoRL, Jun 2022. [Paper]

• ZeST: "Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?", L4DC, Apr 2022. [Paper]

• LSE-NGU: "Semantic Exploration from Language Abstractions and Pretrained Representations", arXiv, Apr 2022. [Paper]

• Embodied-CLIP: "Simple but Effective: CLIP Embeddings for Embodied AI ", CVPR, Nov 2021. [Paper] [Pytorch Code]

• CLIPort: "CLIPort: What and Where Pathways for Robotic Manipulation", CoRL, Sept 2021. [Paper] [Pytorch Code] [Website]

Instructions and Navigation

• Text2Motion: "Text2Motion: From Natural Language Instructions to Feasible Plans", arXiv, Mar 2023 [Paper]

• ChatGPT Robot Collaboration: "Improved Trust in Human-Robot Collaboration with ChatGPT", arXiv, April 2023. [Paper]

• ADAPT: "ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts", CVPR, May 2022. [Paper]

• Pre-Trained Vision Models for Control: "The Unsurprising Effectiveness of Pre-Trained Vision Models for Control", ICML, Mar 2022. [Paper] [Pytorch Code] [Website]

• CoW: "CLIP on Wheels: Zero-Shot Object Navigation as Object Localization and Exploration", arXiv, Mar 2022. [Paper]

• Recurrent VLN-BERT: "A Recurrent Vision-and-Language BERT for Navigation", CVPR, Jun 2021 [Paper] [Pytorch Code]

• VLN-BERT: "Improving Vision-and-Language Navigation with Image-Text Pairs from the Web", ECCV, Apr 2020 [Paper] [Pytorch Code]

• Interactive Language: "Interactive Language: Talking to Robots in Real Time", arXiv, Oct 2022 [Paper] [Website]

Simulation Frameworks

• MineDojo: "MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge", arXiv, Jun 2022. [Paper] [Code] [Website] [Open Database]

• Habitat 2.0: "Habitat 2.0: Training Home Assistants to Rearrange their Habitat", NeurIPS, Dec 2021. [Paper] [Code] [Website]

• BEHAVIOR: "BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments", CoRL, Nov 2021. [Paper] [Code] [Website]

• iGibson 1.0: "iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes", IROS, Sep 2021. [Paper] [Code] [Website]

• ALFRED: "ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks", CVPR, Jun 2020. [Paper] [Code] [Website]

• BabyAI: "BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning", ICLR, May 2019. [Paper] [Code]

Perception

• LGX: "Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Based Zero-Shot Object Navigation", arXiv, Mar 2023. [Paper]

• Robots Acquire Skills With VLMs: "Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models" arXiv, Nov 2022. [Paper]

• From Occulation To Insight: "From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models", arXiv, Feb 2023, [Paper]

Project Demos

• RobotGPT Pt.2 "Twitter Video Of Voice-Input LLM-Powered Robot Arm", Orangewood Labs, 2023, [Video]

• SPOT GPT: "Boston Dynamics Integration of ChatGPT into SPOT Robot", Boston Dynamics, 2023, [Video]

• RobotGPT: "Orangewood Labs RoboGPT Demo", Orangewood Labs, 2023, [Video]

• Mona: "Vitruvian Works Robot Demonstration", Vitruvian Works, 2023, [Video]

• Ameca: "Ameca Expressions with GPT-3 / 4", Engineered Arts, 2023, [Video]

• Sarcastic Robot: "Sarcastic Robot powered by GPT-4", Gabrael Levine (Hackathon Project), 2023, [Video]

• DroneFormer: "DroneFormer: Controlling UAVs with natural language!", Brian Wu (Hackathon Project), Stanford University, 2023 [Video]

Thoughtful Twitter Threads

• Bitter Lesson 2.0: @hausman_k, 2023 [Thread]

Citation

If you find this repository useful, please consider citing this list:

@misc{rintamaki2023everythingllmsandroboticsrepo,
    title={Everything-LLMs-And-Robotics},
    author={Jacob Rintamaki},
    journal={GitHub repository},
    url={https://github.com/jrin771/Everything-LLMs-And-Robotics},
    year={2023},
}