This library is still under very active development, hence bleeding edge, and not "supported" in the way GTSAM is. In particular, we are still actively re-factoring the way we deal with time and time intervals.
GTDynamics is a library that allows the user to express the full kinodynamics constraints of an arbitrary robot configuration on a factor graph. These constraints can be used to solve the forward and inverse dynamics problems.
GTDynamics uses the SDFormat parser to parse SDF/URDF files containing robot descriptions.
Using Homebrew is the easiest way to get SDFormat installed and it also makes switching versions straightforward.
$ # Install homebrew.
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
$ # Set up the tap ind install sdformat12
$ brew tap osrf/simulation
$ brew install sdformat12
Alternatively, you can install from source if you are on Linux or want more fine-tuned control.
We provide an Ubuntu-based process below. Please reference this tutorial for complete details on installing from source.
# Install basic dependencies
sudo apt-get install -y ruby-dev build-essential libboost-all-dev cmake pkg-config wget lsb-release
# Setup the repo
sh -c 'echo "deb http://packages.osrfoundation.org/gazebo/ubuntu-stable `lsb_release -cs` main" > /etc/apt/sources.list.d/gazebo-stable.list'
wget http://packages.osrfoundation.org/gazebo.key -O - | sudo apt-key add -
sudo apt-get update
# Install SDFormat dependencies
sudo apt-get install -y libtinyxml2-dev liburdfdom-dev libignition-cmake2-dev libignition-tools-dev libignition-math6-dev
# Set the version to install
export GTD_SDFormat_VERSION="10.5.0"
# Download specific version of SDFormat
wget http://osrf-distributions.s3.amazonaws.com/sdformat/releases/sdformat-${GTD_SDFormat_VERSION}.tar.bz2
tar -xvjf sdformat-${GTD_SDFormat_VERSION}.tar.bz2
cd sdformat-${GTD_SDFormat_VERSION}
mkdir build && cd build
cmake -DCMAKE_INSTALL_PREFIX=../install ..
make -j4
sudo make install
$ git clone https://github.com/borglab/GTDynamics.git
$ cd GTDynamics
$ mkdir build; cd build
# We can specify the install path with -DCMAKE_INSTALL_PREFIX
$ cmake -DCMAKE_INSTALL_PREFIX=../install ..
$ make
$ sudo make install
$ make check
The examples
directory contains various full example projects demonstrating the use of GTDynamics for various robotic applications.
We recommend going through the examples to get a better understanding of how to use GTDynamics for your own use cases.
NOTE The examples are made to run within the GTDynamics source folder and are not standalone projects.
Run these examples with
$ make example_XXX.run
where XXX
corresponds to a folder name in examples
. For example, make example_forward_dynamics.run
.
The examples/cmake_project_example
directory contains an example CMake-based project that demonstrates how to include GTDynamics in your application.
Use this as a template when you want to set up your own project that uses GTDynamics (e.g. separate git repo, ROS, personal libraries, etc).
To build the project:
-
Navigate to the example's subdirectory and create a build directory. e.g.
cd GTDynamics/examples/cmake_project_example mkdir build; cd build
-
Make the example.
If GTDynamics was installed to
~/JohnDoe/GTDynamics/install
, then run the cmake command with:cmake -DCMAKE_PREFIX_PATH=~/JohnDoe/GTDynamics/install .. make
-
Run the example!
./example
GTDynamics now supports a Pybind11-based Python API.
GTWrap comes bundled with GTSAM, which generates a corresponding GTSAM Python API. The same GTWrap package can be used to generate python bindings for GTDynamics (i.e. it is not necessary to manually install a separate GTWrap).
Note: when using CMake, it is ideal for GTSAM and GTDynamics to have the same, non /usr/local
prefix for installing packages. To update the CMake prefix from a system directory, use the flag CMAKE_INSTALL_PREFIX=/path/to/install/dir
when running cmake
.
To compile and install the GTDynamics python library:
-
Ensure that GTSAM is built with generated python bindings. If not, go to the build directory and run
cmake
with the flagGTSAM_BUILD_PYTHON=ON
. It is highly advised to specify a nonuser/local
CMake prefix for installing packages. Afterwards, install the GTSAM python package.cmake -DGTSAM_BUILD_PYTHON=ON -DCMAKE_INSTALL_PREFIX=/path/to/install/dir .. make && make install && make python-install
-
In the GTDynamics build directory, run
cmake
with the flagGTDYNAMICS_BUILD_PYTHON=ON
. It is highly advised for the GTDynamics CMake prefix to match the CMake prefix used for GTSAM. Again, use theCMAKE_INSTALL_PREFIX=/path/to/install/dir
flag to specify the updated prefix.cmake -DGTDYNAMICS_BUILD_PYTHON=ON -DCMAKE_INSTALL_PREFIX=/path/to/install/dir ..
-
Build as normal and install the python package.
make && make python-install
-
To run the Python tests, you can simply run:
make python-test
You can also run individual test suites, e.g. with:
make python-test.base make python-test.cablerobot
If preferred, GTWrap can be downloaded and installed separately. Afterwards, follow the instructions above from step 2 for building and installing the GTDynamics python bindings.
Please cite the following paper if you use this code as part of any published research:
@misc{2011.06194,
Author = {Mandy Xie, Alejandro Escontrela, and Frank Dellaert},
Title = {A Factor-Graph Approach for Optimization Problems with Dynamics Constraints},
Year = {2020},
Eprint = {arXiv:2011.06194},
}