This repository is part of the project "LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery". It provides the code for the reinforcement learning experiments as described in the LapGym paper for the environments of sofa_env.
sudo apt install ffmpeg)If not done already: clone the sofa_env repository and follow the instructionsof that repository to setup a conda environment and compile SOFA with SofaPython3 support. Do not forget to install the package itself with pip install -e . afterwards. Make sure that you did all the steps inside the sofa conda environment. If you have already installed SOFA with SofaPython3 in a conda env, it should be enough to pip install the repository.
Clone this repository (sofa_zoo).
Make sure that the sofa conda environment is active.
Install this repository with pip install -e ..
If you use the project in your work, please consider citing it with:
@article{JMLR:v24:23-0207,
author = {Paul Maria Scheikl and Balázs Gyenes and Rayan Younis and Christoph Haas and Gerhard Neumann and Martin Wagner and Franziska Mathis-Ullrich},
title = {LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery},
journal = {Journal of Machine Learning Research},
year = {2023},
volume = {24},
number = {368},
pages = {1--42},
url = {http://jmlr.org/papers/v24/23-0207.html}
}This work is supported by the Helmholtz Association under the joint research school "HIDSS4Health – Helmholtz Information and Data Science School for Health".