Research & learning / Research
Awesome LLM Robotics collects research using language and multimodal models for robotics and reinforcement learning.
Awesome LLM Robotics collects research using language and multimodal models for robotics and reinforcement learning.
Publisher summary: “A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Repository
Research
Awesome Implicit NeRF Robotics collects implicit-representation and NeRF research for robotics and reinforcement learning.
Standards & reference collections
Repository
Open source
RoboGen research code for generating and learning robot skills.
Robot learning frameworks
Repository
Open source
Awesome-Robotics-Foundation-Models
Standards & reference collections
Repository
Open source
LEO research implementation for a generalist embodied agent in 3D environments.
Robot learning frameworks
Repository
Research
Research code for mapping multimodal instructions to robotic actions.
Navigation & SLAM