robotic 0.2.0

Robotic Control Interface & Manipulation Planning Library

Robotic Control Interface & Manipulation Planning Library

A python library to operate a real or simulated robot, work with robot/world configurations, compute differentiable features, formulate and solve constrained optimization problems (for inverse kinematics, path optimization, and manipulation planning), and interfacing to various physical simulation engines.

These python bindings were developed for easier access to the uderlying C++ code base, esp. for teaching and students. This code base is how we (in the Learning & Intelligent Systems Lab) operate our robots.

• Documentation & Tutorials: https://marctoussaint.github.io/robotic/
• Sources: https://github.com/MarcToussaint/robotic/
• Pypi: https://pypi.org/project/robotic/

Installation via pip (simulation only, no real Franka & realsense support)

• The pip package was compiled for python3.8 .. 3.12, and most of the dependencies statically linked. A few are still loaded dynamically, which requires installing on Ubuntu:

sudo apt install liblapack3 freeglut3 libglu1-mesa libfreetype6 fonts-ubuntu python3 python3-pip
#latest Ubuntu: libglut3.12 and 'cd /usr/lib/x86_64-linux-gnu/ && sudo ln -s libglut.so.3.12 libglut.so.3'

• pip-install robotic

pip install robotic numpy

• Tests:

ry-info

python3 -c 'import robotic as ry; ry.test.RndScene()'

ry-view `python3 -m site --user-site`/robotic/rai-robotModels/scenarios/pandaSingle.g

• Run all tutorial notebooks as a test and showcase (takes long):

pip install jupyter nbconvert matplotlib ipympl
git clone https://github.com/MarcToussaint/rai-tutorials.git
cd rai-tutorials
make run -j1

Installation from source with real Franka & realsense support

This assumes a standard Ubuntu 22.04 (or 20.04, 18.04) machine.

• Install Ubuntu and python packages:

  sudo apt install --yes \
    g++ clang make gnupg cmake git wget \
    liblapack-dev libf2c2-dev libqhull-dev libeigen3-dev libann-dev \
    libjsoncpp-dev libyaml-cpp-dev libhdf5-dev libpoco-dev libboost-system-dev portaudio19-dev libusb-1.0-0-dev \
    libx11-dev libglu1-mesa-dev libglfw3-dev libglew-dev freeglut3-dev libpng-dev libassimp-dev \
    python3-dev python3 python3-pip
  
  python3 -m pip install --user numpy pybind11 pybind11-stubgen
  

• Install some external libs by source. You can skip librealsense and libfranka if you disable below. (To speed up compilation, e.g., set

  export MAKEFLAGS="-j $(command nproc --ignore 2)"
  

  To standardize installations, I use a basic script:

  wget https://github.com/MarcToussaint/rai-extern/raw/main/install.sh; chmod a+x install.sh
  ./install.sh libccd
  ./install.sh fcl
  ./install.sh physx
  ./install.sh librealsense
  ./install.sh libfranka  ## for OLD frankas instead:   ./install.sh -v 0.7.1 libfranka
  

• Clone, compile and install this repo (note the USE_REALSENSE and USE_LIBFRANKA options!):

  cd $HOME/git
  git clone --recursive https://github.com/MarcToussaint/robotic.git
  cd robotic
  cp _build_utils/CMakeLists-ubuntu.txt CMakeLists.txt
  export PY_VERSION=`python3 -c "import sys; print(str(sys.version_info[0])+'.'+str(sys.version_info[1]))"`
  cmake -DPY_VERSION=$PY_VERSION -DUSE_REALSENSE=ON -DUSE_LIBFRANKA=ON . -B build
  make -C build _robotic install
  

• The following should also compile docstrings, but might fail as this is not yet robust across Ubuntu distributions:

  make -C build _robotic docstrings install
  

• This should install everything in .local/lib/python*/site-packages/robotic. Test:

  cd $HOME
  ry-info
  python3 -c 'import robotic as ry; ry.test.RndScene()'
  

• Recall that the user needs to be part of the realtime and dialout unix group:

  sudo usermod -a -G realtime <username>
  sudo usermod -a -G dialout <username>
  

  You need to log out and back in (or even reboot) for this to take effect. Check with groups in a terminal.

• Now follow the Real Robot Operation Tutorial on the tutorials page to test and debug first steps with the real franka. In particular test ry-bot -real -up -home and debug as explained there.

Building the wheels within a manylinux docker

• Build the docker

_build_utils/build-docker.sh

• Compile wheels (this runs local/_build_utils/build-wheels.sh inside the docker -- see Makefile)

make wheels

• Outside of docker, install locally with pip or push wheels to pypi

python3.8 -m pip install --user dist/robotic-*cp38*.whl --force-reinstall
python3.10 -m pip install --user dist/robotic-*cp310*.whl --force-reinstall
# or
twine upload dist/*.whl --repository robotic