# Initialization¶

Now that we have installed and set up EXOTica, we begin looking at solving motion plans. To do this, we must first initialize our problems and solvers. EXOTica can be added to a new or existing project; here we will start with a new project.

Two primary steps need to be fulfilled when using EXOTica: Initialization and Usage. Initialization is required to set up the problem and the solver. The usage is where the problem is solved.

The solving and usage of EXOTica is taken care of in your Python or C++ code. You can initialize your problem here too, or this can be done via a separate XML file. XML tends to be preferred, as it keeps your code clean and can be changed more easily without requiring recompilation (in the case of C++). We will look at how to achieve each of these in the next section, but first take note of where the initializers are stored.

## Finding Initializers¶

Initialization options for problems, solvers, task maps, ets. can be found in the following location inside the respective packages:

Problems: <package_name>/init/<initializer>.in


## Initializer Layout¶

These .in files are laid out as follows:

When we look at a problem initializer such as UnconstrainedEndPoseProblem initializer (exotica/exotica/init/UnconstrainedEndPoseProblem.in), we see a list of parameters that can be set when we initialize the problem.

// UnconstrainedEndPoseProblemInitializer

extend <exotica/PlanningProblem>
Optional std::vector<exotica::Initializer> Cost = std::vector<exotica::Initializer>();
Optional Eigen::VectorXd W = Eigen::VectorXd();
Optional Eigen::VectorXd NominalState = Eigen::VectorXd();


In this case, all the parameters are optional and will have default values assigned to them. We can change these parameters during initialization if required.

All problem initializers also extend the exotica/PlanningProblem initializer, which adds extra parameters. This is seen below:

// PlanningProblemInitializer

include <exotica/SceneInitializer>
extend <exotica/Object>
Required exotica::Initializer PlanningScene; # SceneInitializer
Optional std::vector<exotica::Initializer> Maps = std::vector<exotica::Initializer>();
Optional Eigen::VectorXd StartState = Eigen::VectorXd();
Optional double StartTime = 0;
Optional int DerivativeOrder = -1;


This requires us to specify the scene in which the solver will operate, as well as start states and task maps (which we will look at later). In all, after extending both the PlanningSceneInitializer and the Object initializer (which takes a name and debug argument), the whole initializer for our UnconstrainedEndPoseProblem looks like this:

Required std::string Name;
Required exotica::Initializer PlanningScene; # SceneInitializer
Optional bool Debug = false;
Optional std::vector<exotica::Initializer> Maps = std::vector<exotica::Initializer>();
Optional Eigen::VectorXd StartState = Eigen::VectorXd();
Optional double StartTime = 0;
Optional int DerivativeOrder = -1;
Optional std::vector<exotica::Initializer> Cost = std::vector<exotica::Initializer>();
Optional Eigen::VectorXd W = Eigen::VectorXd();
Optional Eigen::VectorXd NominalState = Eigen::VectorXd();


This shows us that the very least that is required to initialize a problem is a name for the problem and the planning scene that the problem operates in. Other problems are also laid out in a similar fashion. The optional elements offer a powerful customisation tool for out motion planner.