ompl
  • Standard Documents
    • LICENSE
    • PACKAGE
    • README
      • The Open Motion Planning Library (OMPL)
        • Continuous Integration Status
        • Installation
  • Documentation
    • markdown/
      • Frequently Asked Questions {#FAQ}
      • Acknowledgements {#acknowledgements}
      • How to Benchmark Planners {#benchmark}
      • Build Options {#buildOptions}
      • Integrate Your Own Code with OMPL’s Build System {#buildSystem}
      • Citations {#citations}
      • Constrained Planning {#constrainedPlanning}
      • Constrained Planning Tutorial {#constrainedPlanningTutorial}
      • Submit Your Contribution {#contrib}
      • Demos {#demos}
      • Developers {#developers}
      • Teaching Module on Motion Planning {#education}
      • Gallery {#gallery}
      • Generic Instructions for Setting Up a Planning Context {#genericPlanning}
      • Geometric Planning for a Rigid Body in 3D {#geometricPlanningSE3}
      • Representing Goals in OMPL {#goalRepresentation}
      • Implementing State Spaces {#implementingStateSpaces}
      • Installation of Py++ {#installPyPlusPlus}
      • Installation {#installation}
      • Integration of OMPL in Other Systems {#integration}
      • License {#license}
      • Mailing Lists {#mailingLists}
      • Multilevel Planning Framework {#multiLevelPlanning}
      • Multilevel Planning Tutorial {#multiLevelPlanningTutorial}
      • Implementing a New Motion Planner {#newPlanner}
      • Using the ODESolver for Planning with Controls {#odeint}
      • Optimal Planning {#optimalPlanning}
      • Optimal Planning Tutorial {#optimalPlanningTutorial}
      • Optimization Objectives Tutorial {#optimizationObjectivesTutorial}
      • Path Visualization {#pathVisualization}
      • Planner Termination Conditions {#plannerTerminationConditions}
      • OMPL Planner Arena {#plannerarena}
      • Available Planners {#planners}
      • Use of Projections in OMPL {#projections}
      • Creating Python Bindings for a New Planner {#pybindingsPlanner}
      • Python Bindings {#python}
      • Registration {#register}
      • Release Notes {#releaseNotes}
      • Available State Samplers {#samplers}
      • Available Spaces {#spaces}
      • State Validity Checking {#stateValidation}
      • OMPL Style Guide {#styleGuide}
      • Get Support {#support}
      • Contributions {#thirdparty}
      • Tutorials {#tutorials}
      • Working with States and State Spaces {#workingWithStates}
  • Index
ompl
  • Documentation
  • markdown/
  • Tutorials {#tutorials}
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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 as well.

Beginner

  • Geometric planning for a rigid body in 3D

  • Setting up state validity checking

  • Working with states and state spaces

  • Using existing samplers and creating new ones

  • Visualizing solution paths

  • Benchmarking planners

  • Optimal planning (see also the high-level introduction)

  • Constrained planning (see also the high-level introduction)

  • Multilevel planning (see also the high-level introduction)

Intermediate

  • Generic instructions for setting up a planning context

  • Implementing new state spaces

  • Representing goals

  • Using ODESolver for Planning with Controls

  • Defining optimization objectives for optimal planning

  • Parallel optimal planning using CForest

Advanced

  • Adding a new planner

  • Creating Python bindings for a new planner

  • Setting up a projection

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