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A template-based Library for creating curves of arbitrary order and dimension, eventually subject to derivative constraints. The main use of the library is the creation of end-effector trajectories for legged robots.
To do so, tools are provided to:
> - create **exact** splines of arbitrary order (that pass exactly by an arbitrary number waypoints)
> - constrain initial / end velocities and acceleration for the spline.
> - constrain take-off and landing phases to follow a straight line along a given normal (to avoid undesired collisions between the effector and the contact surface)
The library is template-based, thus generic: the curves can be of any dimension, and can be implemented in double, float ...
While a Bezier curve implementation is provided, the main interest
of this library is to create spline curves of arbitrary order
## Example of use for and end-effector trajectory
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The library comes with an helper class to automatically generate end-effector trajectories.
For instance, to create a 2 second long trajectory from the point (0,0,0) to (1,1,0), with a waypoint
at (0.5,0.5,0.5), one can use the following code:
```
typedef std::pair<double, Eigen::Vector3d> Waypoint;
typedef std::vector<Waypoint> T_Waypoint;
// loading helper class namespace
using namespace spline::helpers;
// Create waypoints
waypoints.push_back(std::make_pair(0., Eigen::Vector3d(0,0,0)));
waypoints.push_back(std::make_pair(1., Eigen::Vector3d(0.5,0.5,0.5)));
waypoints.push_back(std::make_pair(2., Eigen::Vector3d(1,1,0)));
exact_cubic_t* eff_traj = effector_spline(waypoints.begin(),waypoints.end());
// evaluate spline
(*eff_traj)(0.); // (0,0,0)
(*eff_traj)(2.); // (1,1,0)
```
If rotation of the effector must be considered, the code is almost the same:
```
// initial rotation is 0, end rotation is a rotation by Pi around x axis
quat_t init_rot(0,0,0,1), end_rot(1,0,0,0);
effector_spline_rotation eff_traj_rot(waypoints.begin(),waypoints.end(), init_quat, end_quat);
// evaluate spline
eff_traj_rot(0.); // (0,0,0,0,0,0,1)
eff_traj_rot(1.); // (0.5,0.5,0.5,0.707107,0,0,0.707107) // Pi/2 around x axis
eff_traj_rot(2.); // (0,0,0,1,0,0,0)
```
Additional parameters for the same methods an be used to specify parameters for the take off and
landing phases: height and duration of the phase, and along which normal.
Please refer to the Main.cpp files to see all the unit tests and possibilities offered by the library
* [Eigen (version >= 3.2.2)](http://eigen.tuxfamily.org/index.php?title=Main_Page)
* [Boost.Python](http://www.boost.org/doc/libs/1_63_0/libs/python/doc/html/index.html)
* [eigenpy](https://github.com/stack-of-tasks/eigenpy)
To handle this with cmake, use the recursive option to clone the repository.
For instance, using http:
```
git clone --recursive https://github.com/stonneau/spline.git $SPLINE_DIR
```
The library is header only, so the build only serves to build the tests and python bindings:
../bin/tests
```
If everything went fine you should obtain the following output:
```
To install the Python bindings, in the CMakeLists.txt file, first enable the BUILD_PYTHON_INTERFACE option:
```
OPTION (BUILD_PYTHON_INTERFACE "Build the python binding" ON)
```
Then rebuild the library:
```
cd $SPLINE_DIR/build
cmake -DCMAKE_INSTALL_PREFIX=${DEVEL_DIR}/install ..
make install
```
The python bindings should then be accessible through the package centroidal_dynamics.
To see example of use, you can refer to the [test file](https://github.com/stonneau/spline/blob/master/python/test/test.py)
which is rather self explanatory:
In spite of an exhaustive documentation, please refer to the C++ documentation, which mostly applies
to python. For the moment, only bezier curves are binded.