This is the branch for ROS2; use the ros1 branch for ROS1.
Unified C++ interface for quadratic programming solvers

Features
- Unified C++ interface to many QP solvers
- Can be built as a standalone package or ROS package
- High portability decoupled from each QP solver by Pimpl technique
Supported QP solvers
Installation
Installation procedure
It is assumed that ROS is installed.
- Install the QP solver you wish to use according to this section. You can skip installing QP solvers that you do not use.
- Setup colcon workspace.
$ mkdir -p ~/ros/ws_qp_solver_collection/src
$ cd ~/ros/ws_qp_solver_collection
$ wstool init src
$ wstool set -t src isri-aist/QpSolverCollection git@github.com:isri-aist/QpSolverCollection.git --git -y
$ wstool update -t src
wstool
can be installed with apt install python3-wstool
or pip install wstool
.
- Install dependent packages.
$ source /opt/ros/${ROS_DISTRO}/setup.bash
$ rosdep install -y -r --from-paths src --ignore-src
- Build a package.
$ cd ~/ros/ws_qp_solver_collection
$ colcon build --packages-select qp_solver_collection --merge-install --cmake-args -DCMAKE_BUILD_TYPE=RelWithDebInfo <qp-solver-flags>
$ colcon test --merge-install --packages-select qp_solver_collection # [optional] to compile and run tests
See this section for <qp-solver-flags>
.
QP solver installation
As all supported QP solvers are installed in CI, please refer to the installation procedure.
Please refer to the license specified in each QP solver when using it.
QLD
Install eigen-qld.
Add -DENABLE_QLD=ON
to the catkin build command (i.e., <qp-solver-flags>
).
QuadProg
Install eigen-quadprog.
Add -DENABLE_QUADPROG=ON
to the catkin build command (i.e., <qp-solver-flags>
).
JRLQP
Install master branch of jrl-qp. Add -DENABLE_JRLQP=ON
to the catkin build command (i.e., <qp-solver-flags>
).
Install master branch of qpOASES with -DBUILD_SHARED_LIBS=ON
cmake option.
Add -DENABLE_QPOASES=ON
to the catkin build command (i.e., <qp-solver-flags>
). Also, add -DQPOASES_INCLUDE_DIR=<path to qpOASES.hpp>
and -DQPOASES_LIBRARY_DIR=<path to libqpOASES.so>
to the catkin build command.
OSQP
Install master branch of osqp and osqp-eigen.
Add -DENABLE_OSQP=ON
to the catkin build command (i.e., <qp-solver-flags>
).
NASOQ
Install cmake-install branch of nasoq.
Add -DENABLE_NASOQ=ON
to the catkin build command (i.e., <qp-solver-flags>
).
HPIPM
Install master branch of blasfeo and hpipm.
Add /opt/blasfeo/lib
and /opt/hpipm/lib
to the environment variable LD_LIBRARY_PATH
.
Add -DENABLE_HPIPM=ON
to the catkin build command (i.e., <qp-solver-flags>
).
ProxQP
Install main branch of proxsuite.
Add -DENABLE_PROXQP=ON
to the catkin build command (i.e., <qp-solver-flags>
).
qpmad
Install master branch of qpmad.
Add -DENABLE_QPMAD=ON
to the catkin build command (i.e., <qp-solver-flags>
).
LSSOL (private)
Install eigen-lssol.
Add -DENABLE_LSSOL=ON
to the catkin build command (i.e., <qp-solver-flags>
).
How to use
See documentation and test for examples of solving QP problems.
The following is a simple sample.
int main()
{
int dim_var = 2;
int dim_eq = 1;
int dim_ineq = 0;
qp_coeff.
setup(dim_var, dim_eq, dim_ineq);
qp_coeff.
obj_mat_ << 2.0, 0.5, 0.5, 1.0;
qp_coeff.
x_max_.setConstant(1000.0);
Eigen::VectorXd solution = qp_solver->solve(qp_coeff);
std::cout << "solution: " << solution.transpose() << std::endl;
return 0;
}
Eigen::MatrixXd eq_mat_
Equality constraint matrix (corresponding to in QpSolver::solve.)
Eigen::VectorXd obj_vec_
Objective vector (corresponding to in QpSolver::solve.)
Eigen::VectorXd x_min_
Lower bound (corresponding to in QpSolver::solve.)
Eigen::MatrixXd obj_mat_
Objective matrix (corresponding to in QpSolver::solve.)
Eigen::VectorXd x_max_
Upper bound (corresponding to in QpSolver::solve.)
void setup(int dim_var, int dim_eq, int dim_ineq)
Setup the coefficients with filling zero.
Eigen::VectorXd eq_vec_
Equality constraint vector (corresponding to in QpSolver::solve.)
std::shared_ptr< QpSolver > allocateQpSolver(const QpSolverType &qp_solver_type)
Allocate the specified QP solver.
In addition to building a sample in a catkin package, you can also build it standalone as follows.
$ g++ sample.cpp `pkg-config --cflags qp_solver_collection` `pkg-config --libs qp_solver_collection`