embodied-agent

Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

Autonomous Agents (LLMs) research papers. Updated Daily.

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.

Odyssey: Empowering Minecraft Agents with Open-World Skills

Seamlessly integrate state-of-the-art transformer models into robotics stacks

A collection of vision-language-action model post-training methods.

[NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning them into sequences of latent world model states. Latent state sequences can be decoded using the decoder of the model, allowing visualization of the expected behavior, before training the agent to execute it.

EmbodiedAgents is a fully-loaded ROS2 based framework for creating interactive physical agents that can understand, remember, and act upon contextual information from their environment.