Polymetis: adj., Ancient Greek. Clever in many ways. Applied to Odysseus by Homer in the Odyssey.
Write PyTorch controllers for robots, test them in simulation, and seamlessly transfer to real-time hardware.
Polymetis powers robotics research at Facebook AI Research. If you want to write your robot policies in PyTorch for simulation and immediately transfer them to high-frequency (1kHz) policies on real-time hardware (e.g. Franka Panda), read on!
- Unified simulation & hardware interface: Write all your robot controllers just once -- immediately transfer them to real-time hardware. You can even train neural network policies using reinforcement learning in simulation and transfer them to hardware, with just a single configuration toggle.
- Write your own robot controllers: Use the building blocks in our TorchControl library to write complex robot controllers, including operational space control. Take advantage of our wrapping of the Pinocchio dynamics library for your robot dynamics.
- Drop-in replacement for PyRobot: If you're already using PyRobot, you can use the exact same interface, but immediately gain access to arbitrary, custom high-frequency robot controllers.
To get started, you only need one line:
conda install -c pytorch -c fair-robotics -c aihabitat -c conda-forge polymetis
You can immediately start running the example scripts in both simulation and hardware. See installation and usage documentation for details.
All documentation on the website. Includes:
- Guides on setting up your Franka Panda hardware for real-time control
- How to quickly get started in PyBullet simulation
- Writing developing your own custom controllers in PyTorch
- Full autogenerated documentation
To run benchmarking, first configure the script to point to your hardware instance, then run
asv run --python=python --set-commit-hash $(git rev-parse HEAD)To update the dashboard, run:
asv publishCommit the result under .asv/results and docs/; it will show up under the benchmarking page in the documentation.
If you use Polymetis in your research, please use the following BibTeX entry.
@misc{Polymetis2021,
author = {Lin, Yixin and Wang, Austin S. and Sutanto, Giovanni and Rai, Akshara and Meier, Franziska},
title = {Polymetis},
howpublished = {\url{https://facebookresearch.github.io/fairo/polymetis/}},
year = {2021}
}
Note: Giovanni Sutanto contributed to the repository during his research internship at Facebook Artificial Intelligence Research (FAIR) in Fall 2019.
See the CONTRIBUTING file for how to help out. Make an issue for bugs and feature requests, or contribute a new robot controller by making a pull request!
Polymetis is MIT licensed, as found in the LICENSE file.