MacOS

Setup Workspace and Environment

Create a workspace to contain the core repositories for ARK

mkdir Ark
cd Ark

Create an ARK Conda environment

conda create -n ark_env python=3.11

Activate the Conda environment

conda activate ark_env

ℹ️

Always use a conda environment in all new terminals that you open and want to interact with ark

Clone ark_framework

git clone https://github.com/Robotics-Ark/ark_framework.git

Navigate to the ark_framework folder

cd ark_framework

Install ark_framework

pip install -e .

Install PyBullet

This has to be done separately for MacOS as PyBullet does not support pip installation for MacOS

conda install -c conda-forge pybullet

Return to the main workspace

cd ..

Clone ark_types

git clone https://github.com/Robotics-Ark/ark_types.git

Navigate to the ark_types folder

cd ark_types

Install ark_types

pip install -e .

Check that all installation is correct, run:

ark --help

You should see something like this:

You should now be all set up and ready with ARK to begin your Robotics and Machine Learning work

Notes:

Tested on MacBook Pro Intel Core i5 16GB RAM running Sequoia 15.4.1