Overview#

Cover

Preamble#

UW Lab build upon the solid foundation laid by Isaac Lab / NVIDIA Isaac Sim, expanding its framework to embrace a broader spectrum of algorithms, robots, and environments. While adhering to the principles of modularity, agility, openness, and battery-included as Isaac Lab.

In the short term, our mission is to unify and facilitate the research efforts of our colleagues within a single, cohesive framework. Looking ahead, UW Lab envisions a future where AI, robotics, and the boundaries between reality and digital world seamlessly converge, offering profound insights into the interaction and development of intelligent systems.

We recognize that this is a long and evolving journey, which is why we place immense value on the journey of development, prioritizing principled, flexible, and extensible structures over mere results. At UW Lab, we are committed to crafting a value where the process is as significant as the outcome, fostering innovation that resonates deeply with our vision.

License#

The UW Lab framework is open-sourced under the BSD-3-Clause license. Please refer to License for more details.

Acknowledgement#

If you found UW Lab useful, we appreciate if you cite it in academic publications:

@software{zhang2025uwlab,
   author={Zhang, Zhengyu and Yu, Feng and Castro, Mateo and Yin, Patrick and Peng, Quanquan and Scalise, Rosario},
   title={{UWLab}: A Simulation Platform for Robot Learning Environment},
   year={2025},
   url={https://github.com/UW-Lab/UWLab}
}

UW Lab development initiated from the Orbit framework. please cite orbit in academic publications as well in honor of the original authors.:

@article{mittal2023orbit,
   author={Mittal, Mayank and Yu, Calvin and Yu, Qinxi and Liu, Jingzhou and Rudin, Nikita and Hoeller, David and Yuan, Jia Lin and Singh, Ritvik and Guo, Yunrong and Mazhar, Hammad and Mandlekar, Ajay and Babich, Buck and State, Gavriel and Hutter, Marco and Garg, Animesh},
   journal={IEEE Robotics and Automation Letters},
   title={Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments},
   year={2023},
   volume={8},
   number={6},
   pages={3740-3747},
   doi={10.1109/LRA.2023.3270034}
}

Table of Contents#

Publications

References

Indices and tables#