Awesome
RLRoverLab
Introduction
Welcome to RLRoverLab! This project implements a suite of Reinforcement Learning (RL) agents using Isaac Sim and Isaac Lab. Our suite currently supports a variety of tasks within navigation and manipulation, with ongoing efforts to expand our offerings.
Features
- Navigation and Manipulation Tasks: Implementations of RL agents designed for navigation and manipulation tasks, we are working on integrating more tasks.
- Isaac Sim and ORBIT Integration: Utilizes the advanced simulation environments of Isaac Sim and the ORBIT framework for realistic task scenarios.
- Expandable Framework: Architecture designed for easy extension with new tasks and functionalities.
Getting Started
To get started with RLRoverLab, please refer to our Installation Guide available in the project's wiki. The guide provides comprehensive steps for setting up the suite using Docker as well as instructions for native installation.
Quick Links
<!--## Contribution We welcome contributions to RLRoverLab! Whether it's adding new tasks, or fixing bugs. Check out our [Contribution Guidelines](https://github.com/abmoRobotics/isaac_rover_orbit/CONTRIBUTING.md) for more information on how to get involved. -->Train agents in parralel
Video of trained RL-agent
Support
If you have questions, suggestions, feel free to contact us.
- Contact Us: For direct inquiries, reach out to Anton Bjørndahl Mortensen at antonbm2008@gmail.com.