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# Tutorials {#tutorials}
Below we include a number of tutorials we believe are useful for understanding how OMPL works, grouped by level of difficulty. Users are encouraged to look at the [demos](group__demos.html) as well.
## Beginner
- [Geometric planning for a rigid body in 3D](geometricPlanningSE3.html)
- [Setting up state validity checking](stateValidation.html)
- [Working with states and state spaces](workingWithStates.html)
- [Using existing samplers and creating new ones](samplers.html)
- [Visualizing solution paths](pathVisualization.html)
- [Benchmarking planners](benchmark.html)
- [Optimal planning](optimalPlanningTutorial.html) (see also the [high-level introduction](optimalPlanning.html))
- [Constrained planning](constrainedPlanningTutorial.html) (see also the [high-level introduction](constrainedPlanning.html))
- [QuotientSpace planning](quotientSpacePlanningTutorial.html) (see also the [high-level introduction](quotientSpacePlanning.html))
## Intermediate
- [Generic instructions for setting up a planning context](genericPlanning.html)
- [Implementing new state spaces](implementingStateSpaces.html)
- [Representing goals](goalRepresentation.html)
- [Using ODESolver for Planning with Controls](odeint.html)
- [Defining optimization objectives for optimal planning](optimizationObjectivesTutorial.html)
- [Parallel optimal planning using CForest](CForest.html)
## Advanced
- [Adding a new planner](newPlanner.html)
- [Creating Python bindings for a new planner](pybindingsPlanner.html)
- [Setting up a projection](projections.html)
- [Using OMPL with the Morse simulator](morse.html)
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