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.
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-dev libglu1-mesa libxrandr2 libfreetype6 fonts-ubuntu python3 python3-pip
#in latest Ubuntu also:
cd /usr/lib/x86_64-linux-gnu/ && sudo ln -s libglut.so.3.12 libglut.so.3
-
Pip install:
pip install robotic numpy
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Tests:
ry-info
ry-test
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Run all tutorial notebooks as a test and showcase:
pip install jupyter nbconvert matplotlib ipympl
git clone https://github.com/MarcToussaint/rai-tutorials.git
cd rai-tutorials
make run -j1
make run_demos -j1
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Test in a clean ubuntu:latest docker (starting with xhost +local:root && docker run -it --env="DISPLAY" --network host ubuntu:latest):
apt update
env DEBIAN_FRONTEND=noninteractive apt install --yes liblapack3 freeglut3-dev libglu1-mesa libxrandr2 libfreetype6 fonts-ubuntu python3 python3-venv
cd /usr/lib/x86_64-linux-gnu/ && ln -s libglut.so.3.12 libglut.so.3
python3 -m venv ~/.local/venv
source ~/.local/venv/bin/activate
pip install robotic numpy
ry-info
ry-test
Installation from source with real Franka & realsense support
This assumes a standard Ubuntu 24.04 (or 22.04, 20.04) machine.
-
Install Ubuntu and python packages:
sudo apt install --yes \
g++ clang make gnupg cmake git wget libstdc++-14-dev \
liblapack-dev libf2c2-dev libqhull-dev libeigen3-dev \
libjsoncpp-dev libyaml-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 numpy pybind11 pybind11-stubgen
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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/raw/refs/heads/marc/_make/install.sh; chmod a+x install.sh
./install.sh libccd
./install.sh fcl
./install.sh libann
./install.sh physx
./install.sh librealsense
./install.sh libfranka ## for OLD frankas instead: ./install.sh -v 0.8.0 libfranka (and you need to patch it...)
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Clone, compile and install this repo (note the USE_REALSENSE and USE_LIBFRANKA options!):
cd $HOME/git
git clone --recursive https://github.com/MarcToussaint/robotic.git
cd robotic
cp _make/CMakeLists-ubuntu.txt CMakeLists.txt
export PY_VERSION=`python3 -c "import sys; print(str(sys.version_info[0])+'.'+str(sys.version_info[1]))"`
cmake -DPY_VERSION=$PY_VERSION -DUSE_REALSENSE=ON -DUSE_LIBFRANKA=ON . -B build
make -C build _robotic install
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The following should also compile docstrings, but might fail as this
is not yet robust across Ubuntu distributions:
make -C build _robotic docstrings install
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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()'
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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_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 dist/robotic-*cp38*.whl --force-reinstall
python3.10 -m pip install dist/robotic-*cp310*.whl --force-reinstall
# or
twine upload dist/*.whl --repository robotic