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Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:
 CAStarVisitorConcept
 Compl::geometric::SPARSdb::CustomVisitor
 CAtlasOptions
 CBaseCell
 Compl::GridN< _T >::CellDefinition of a cell in this grid
 Cboost::default_astar_visitor
 Compl::geometric::SPARSdb::CustomVisitor
 CCommonMath::BoundaryA struct defining the properties of a plane
 CCommonMath::ConvexObjAn abstract class that defines the required properties of convex objects
 CCommonMath::RectPrismA rectangular prism
 CCommonMath::Rotation
 CCommonMath::TrajectoryRepresents a qunitic polynomial in 3D
 CCommonMath::Vec33D vector class with common vector operations
 CConstrainedOptions
 CConstrainedProblem
 CConvexPolygon
 CEigen::Map
 Compl::base::ConstrainedStateSpace::StateTypeA State in a ConstrainedStateSpace, represented as a dense real vector of values. For convenience and efficiency of various Constraint related operations, this State inherits from Eigen::Map<Eigen::VectorXd>, mapping the underlying dense double vector into an Eigen::VectorXd. Note that this state type inherits from WrapperStateSpace::StateType, and as such the underlying state can be accessed by getState()
 Compl::base::AtlasStateSpace::StateTypeA state in an atlas represented as a real vector in ambient space and a chart that it belongs to
 CKoulesSimulator
 CMotionBenchmakerDemoConfiguration for running Motion Benchmark Maker benchmarks with OMPL and VAMP
 Cobject
 CConstrainedPlanningCommon.ConstrainedProblem
 Compl::AdjacencyList
 Compl::base::AtlasChartTangent space and bounding polytope approximating some patch of the manifold
 Compl::base::ConditionalStateSampler::MotionRepresentation of a motion
 Compl::base::ConstraintDefinition of a differentiable holonomic constraint on a configuration space. See Constrained Planning for more details
 CConstrainedPlanningSphere.SphereConstraint
 CConstraintPtrA shared pointer wrapper for ompl::base::Constraint
 Compl::base::CostDefinition of a cost value. Can represent the cost of a motion or the cost of a state
 Compl::base::DeterministicSequenceAn abstract class for deterministic sequences in arbitrary dimensions
 Compl::base::HaltonSequenceRealization of the Halton sequence for the generation of arbitrary dimensional, low-dispersion sequences
 Compl::base::PrecomputedSequenceGeneral realization for a sampler of precomputed sequences or sets
 Compl::base::DubinsStateSpace::PathTypeComplete description of a Dubins path
 Compl::base::GenericParamMotion planning algorithms often employ parameters to guide their exploration process. (e.g., goal biasing). Motion planners (and some of their components) use this class to declare what the parameters are, in a generic way, so that they can be set externally
 Compl::base::SpecificParam< T >This is a helper class that instantiates parameters with different data types
 Compl::base::GoalAbstract definition of goals
 Compl::base::GoalRegionDefinition of a goal region
 Compl::base::GoalSampleableRegionAbstract definition of a goal region that can be sampled
 CKoulesGoal
 Compl::base::GoalSpaceDefinition of a goal space, i.e., a subspace of the problem state space that defines the goal
 Compl::base::GoalStateDefinition of a goal state
 Compl::base::GoalStatesDefinition of a set of goal states
 Compl::base::GoalLazySamplesDefinition of a goal region that can be sampled, but the sampling process can be slow. This class allows sampling to happen in a separate thread, and the number of goals may increase, as the planner is running, in a thread-safe manner
 CPlanarManipulatorIKGoal
 CGoalPtrA shared pointer wrapper for ompl::base::Goal
 Compl::base::HaltonSequence1DRealization of the Halton sequence for the generation of arbitrary dimensional, low-dispersion sequences
 Compl::base::InformedSamplerAn abstract class for the concept of using information about the state space and the current solution cost to limit future search to a planning subproblem that contains all possibly better solutions
 Compl::base::OrderedInfSamplerAn informed sampler wrapper that generates m samples and then returns them in order of the heuristic
 Compl::base::PathLengthDirectInfSamplerAn informed sampler for problems seeking to minimize path length
 Compl::base::RejectionInfSamplerA default rejection sampling scheme that samples uniformly from the entire planning domain. Samples are rejected until one is found that has a heuristic solution estimate that is less than the current solution. In general, direct sampling of the informed subset is much better, but this is a general default
 Compl::base::IterationTerminationConditionA class to run a planner for a specific number of iterations. Casts to a PTC for use with Planner::solve
 CLightningRetrieveRepairPtrA shared pointer wrapper for ompl::base::LightningRetrieveRepair
 Compl::base::MotionValidatorAbstract definition for a class checking the validity of motions – path segments between states. This is often called a local planner. The implementation of this class must be thread safe
 Compl::base::ConstrainedMotionValidatorConstrained configuration space specific implementation of checkMotion() that uses discreteGeodesic()
 Compl::base::DiscreteMotionValidatorA motion validator that only uses the state validity checker. Motions are checked for validity at a specified resolution
 Compl::base::Dubins3DMotionValidator< Dubins3DStateSpace >A 3D Dubins plane motion validator that only uses the state validity checker. Motions are checked for validity at a specified resolution
 Compl::base::DubinsMotionValidator< Dubins2DStateSpace >A Dubins motion validator that only uses the state validity checker. Motions are checked for validity at a specified resolution
 Compl::vamp::VampMotionValidator< Robot, rake >
 Cvamp_state_space.VampMotionValidator
 CMotionValidatorPtrA shared pointer wrapper for ompl::base::MotionValidator
 Compl::base::MultiOptimizationObjective::ComponentDefines a pairing of an objective and its weight
 Compl::base::OptimizationObjectiveAbstract definition of optimization objectives
 Compl::base::ConstraintObjectiveWrapper around ompl::base::Constraint to use as an optimization objective
 Compl::base::ControlDurationObjectiveDefines optimization objectives where the total time of a control action is summed. This cost function is specified by implementing the controlCost() method
 Compl::base::MechanicalWorkOptimizationObjectiveAn optimization objective which defines path cost using the idea of mechanical work. To be used in conjunction with TRRT
 Compl::base::VFMechanicalWorkOptimizationObjective
 Compl::base::MinimaxObjectiveThe cost of a path is defined as the worst state cost over the entire path. This objective attempts to find the path with the "best worst cost" over all paths
 Compl::base::MaximizeMinClearanceObjectiveObjective for attempting to maximize the minimum clearance along a path
 Compl::base::MinimizeArrivalTimeThe cost of a path is defined as the highest time value along its states. This objective attempts to optimize for the minimum arrival time
 Compl::base::MultiOptimizationObjectiveThis class allows for the definition of multiobjective optimal planning problems. Objectives are added to this compound object, and motion costs are computed by taking a weighted sum of the individual objective costs
 Compl::base::PathLengthOptimizationObjectiveAn optimization objective which corresponds to optimizing path length
 Compl::base::StateCostIntegralObjectiveDefines optimization objectives where path cost can be represented as a path integral over a cost function defined over the state space. This cost function is specified by implementing the stateCost() method
 Compl::base::VFUpstreamCriterionOptimizationObjective
 COptimizationObjectivePtrA shared pointer wrapper for ompl::base::OptimizationObjective
 Compl::base::OwenStateSpace::PathType
 Compl::base::ParamSetMaintain a set of parameters
 Compl::base::PathAbstract definition of a path
 Compl::control::PathControlDefinition of a control path
 Compl::geometric::PathGeometricDefinition of a geometric path
 CPathPtrA shared pointer wrapper for ompl::base::Path
 Compl::base::PlannerBase class for a planner
 CRandomWalkPlanner.RandomWalkPlanner
 Compl::control::ESTExpansive Space Trees
 Compl::control::HyRRTHybrid Rapidly-exploring Random Trees
 Compl::control::HySST
 Compl::control::KPIECE1Kinodynamic Planning by Interior-Exterior Cell Exploration
 Compl::control::LTLPlannerA planner for generating system trajectories to satisfy a logical specification given by an automaton, the propositions of which are defined over a decomposition of the system's state space
 Compl::control::PDSTPath-Directed Subdivision Tree
 Compl::control::RRTRapidly-exploring Random Tree
 Compl::control::SST
 Compl::control::SyclopSynergistic Combination of Layers of Planning
 Compl::control::SyclopESTSyclopEST is Syclop with EST as its low-level tree planner.
 Compl::control::SyclopRRTSyclopRRT is Syclop with RRT as its low-level tree planner.
 Compl::geometric::AITstarAdaptively Informed Trees (AIT*)
 Compl::geometric::AORRTCAsymptotically Optimal RRT-Connect
 Compl::geometric::AOXRRTConnectModified RRT-Connect for AORRTC (AOXRRTConnect)
 Compl::geometric::ATRRTTransition-based Rapidly-exploring Random Trees
 Compl::geometric::AnytimePathShortening
 Compl::geometric::BFMTBidirectional Asymptotically Optimal Fast Marching Tree algorithm developed by J. Starek, J.V. Gomez, et al
 Compl::geometric::BITstarBatch Informed Trees (BIT*)
 Compl::geometric::ABITstarAdvanced Batch Informed Trees (ABIT*)
 Compl::geometric::BKPIECE1Bi-directional KPIECE with one level of discretization
 Compl::geometric::BLITstar
 Compl::geometric::BiESTBi-directional Expansive Space Trees
 Compl::geometric::BiRLRTBi-directional Range-Limited Random Tree (Ryan Luna's Random Tree)
 Compl::geometric::BiTRRTBi-directional Transition-based Rapidly-exploring Random Trees
 Compl::geometric::CForestCoupled Forest of Random Engrafting Search Trees
 Compl::geometric::EITstarEffort Informed Trees (EIT*)
 Compl::geometric::EIRMstarEffort Informed Roadmaps (EIRM*)
 Compl::geometric::ESTExpansive Space Trees
 Compl::geometric::FMTAsymptotically Optimal Fast Marching Tree algorithm developed by L. Janson and M. Pavone
 Compl::geometric::KPIECE1Kinematic Planning by Interior-Exterior Cell Exploration
 Compl::geometric::LBKPIECE1Lazy Bi-directional KPIECE with one level of discretization
 Compl::geometric::LBTRRTLower Bound Tree Rapidly-exploring Random Trees
 Compl::geometric::LazyLBTRRTRapidly-exploring Random Trees
 Compl::geometric::LazyPRMLazy Probabilistic RoadMap planner
 Compl::geometric::LazyPRMstarPRM* planner
 Compl::geometric::LazyRRTLazy RRT
 Compl::geometric::LightningRetrieveRepairThe Lightning Framework's Retrieve-Repair component
 Compl::geometric::PDSTPath-Directed Subdivision Tree
 Compl::geometric::PRMProbabilistic RoadMap planner
 Compl::geometric::PRMstarPRM* planner
 Compl::geometric::ProjESTExpansive Space Trees
 Compl::geometric::RLRTRange-Limited Random Tree (Ryan Luna's Random Tree)
 Compl::geometric::RRTRapidly-exploring Random Trees
 Compl::geometric::VFRRT
 Compl::geometric::RRTConnectRRT-Connect (RRTConnect)
 Compl::geometric::RRTXstaticOptimal Rapidly-exploring Random Trees Maintaining A Pseudo Optimal Tree
 Compl::geometric::RRTsharpOptimal Rapidly-exploring Random Trees Maintaining An Optimal Tree
 Compl::geometric::RRTstarOptimal Rapidly-exploring Random Trees
 Compl::geometric::InformedRRTstarInformed RRT*
 Compl::geometric::SORRTstarSORRT*
 Compl::geometric::SBLSingle-Query Bi-Directional Probabilistic Roadmap Planner with Lazy Collision Checking
 Compl::geometric::SPARS SPArse Roadmap Spanner technique.
 Compl::geometric::SPARSdb SPArse Roadmap Spanner Version 2.0
 Compl::geometric::SPARStwo SPArse Roadmap Spanner Version 2.0
 Compl::geometric::SST
 Compl::geometric::STRIDESearch Tree with Resolution Independent Density Estimation
 Compl::geometric::STRRTstarSpace-Time RRT* (STRRTstar)
 Compl::geometric::TRRTTransition-based Rapidly-exploring Random Trees
 Compl::geometric::TRRTstarOptimal Transition-based Rapidly-exploring Random Trees
 Compl::geometric::TSRRTTask-space Rapidly-exploring Random Trees
 Compl::geometric::ThunderRetrieveRepairThe Thunder Framework's Retrieve-Repair component
 Compl::geometric::XXL
 Compl::geometric::pRRTParallel RRT
 Compl::geometric::pSBLParallel Single-query Bi-directional Lazy collision checking planner
 Compl::multilevel::BundleSpaceA single Bundle-space
 Compl::multilevel::BundleSpaceGraphA graph on a Bundle-space
 Compl::multilevel::QMPImplImplementation of the Quotient space roadMap Planner
 Compl::multilevel::QMPStarImpl
 Compl::multilevel::QRRTImplImplementation of BundleSpace Rapidly-Exploring Random Trees Algorithm
 Compl::multilevel::QRRTStarImplImplementation of BundleSpace Rapidly-Exploring Random Tree Star Algorithm
 Compl::multilevel::PlannerMultiLevelMultiLevel Planner Interface. Extends base::Planner by allowing sequences of base::SpaceInformationPtr
 Compl::multilevel::BundleSpaceSequence< QMPImpl >
 Compl::multilevel::BundleSpaceSequence< QMPStarImpl >
 Compl::multilevel::BundleSpaceSequence< QRRTImpl >
 Compl::multilevel::BundleSpaceSequence< QRRTStarImpl >
 Compl::multilevel::BundleSpaceSequence< T >A planner for a sequence of BundleSpaces
 Compl::base::PlannerDataObject containing planner generated vertex and edge data. It is assumed that all vertices are unique, and only a single directed edge connects two vertices
 Compl::control::PlannerDataObject containing planner generated vertex and edge data. It is assumed that all vertices are unique, and only a single directed edge connects two vertices.
 Compl::base::PlannerDataEdgeBase class for a PlannerData edge
 Compl::control::PlannerDataEdgeControlRepresentation of an edge in PlannerData for planning with controls. This structure encodes a specific control and a duration to apply the control
 CPlannerDataPtrA shared pointer wrapper for ompl::base::PlannerData
 Compl::base::PlannerDataStorageObject that handles loading/storing a PlannerData object to/from a binary stream. Serialization of vertices and edges is performed using the Boost archive method serialize. Derived vertex/edge classes are handled, presuming those classes implement the serialize method
 Compl::control::PlannerDataStorageObject that handles loading/storing a PlannerData object to/from a binary stream. Serialization of vertices and edges is performed using the Boost archive method serialize. Derived vertex/edge classes are handled, presuming those classes implement the serialize method.
 Compl::base::PlannerDataStorage::HeaderInformation stored at the beginning of the PlannerData archive
 Compl::base::PlannerDataStorage::PlannerDataEdgeDataThe object containing all edge data that will be stored
 Compl::base::PlannerDataStorage::PlannerDataVertexDataThe object containing all vertex data that will be stored
 Compl::base::PlannerDataVertexBase class for a vertex in the PlannerData structure. All derived classes must implement the clone and equivalence operators. It is assumed that each vertex in the PlannerData structure is unique (i.e. no duplicates allowed)
 Compl::multilevel::PlannerDataVertexAnnotatedAn annotated vertex, adding information about its level in the multilevel hierarchy. Class has two modes: Mode 1 (baseMode), we store a reference to its base state element. In Mode 2 (totalMode), we store a deep copy of the lift of the base state into the total space (NOTE: required for PlannerData functions like decoupleFromPlanner())
 Compl::base::PlannerInputStatesHelper class to extract valid start & goal states. Usually used internally by planners
 CPlannerPtrA shared pointer wrapper for ompl::base::Planner
 Compl::base::PlannerSolutionRepresentation of a solution to a planning problem
 Compl::base::PlannerSpecsProperties that planners may have
 Compl::base::PlannerStatusA class to store the exit status of Planner::solve()
 Compl::base::PlannerTerminationConditionEncapsulate a termination condition for a motion planner. Planners will call operator() to decide whether they should terminate before a solution is found or not. operator() will return true if either the implemented condition is met (the call to eval() returns true) or if the user called terminate(true)
 Compl::base::CostConvergenceTerminationCondition: A termination condition for stopping an optimizing planner based on cost convergence
 Compl::base::ProblemDefinitionDefinition of a problem to be solved. This includes the start state(s) for the system and a goal specification. Will contain solutions, if found
 Compl::control::LTLProblemDefinition
 CProblemDefinitionPtrA shared pointer wrapper for ompl::base::ProblemDefinition
 Compl::base::ProjectionEvaluatorAbstract definition for a class computing projections to Rn. Implicit integer grids are imposed on this projection space by setting cell sizes. Before use, the user must supply cell sizes for the integer grid (setCellSizes()). The implementation of this class is thread safe
 CConstrainedPlanningSphere.SphereProjection
 CKinematicChainProjector
 CKoulesProjection
 Compl::base::RealVectorIdentityProjectionEvaluatorDefine the identity projection
 Compl::base::RealVectorLinearProjectionEvaluatorDefinition for a class computing linear projections (multiplication of a k-by-n matrix to the the Rn vector state to produce an Rk projection. The multiplication matrix needs to be supplied as input
 Compl::base::RealVectorRandomLinearProjectionEvaluatorDefinition for a class computing a random linear projections
 Compl::base::RealVectorOrthogonalProjectionEvaluatorDefinition for a class computing orthogonal projections
 Compl::base::SubspaceProjectionEvaluatorIf the projection for a CompoundStateSpace is supposed to be the same as the one for one of its included subspaces, this class facilitates selecting a projection of that subspace
 Compl::base::WrapperProjectionEvaluatorA projection evaluator that wraps around another projection evaluator
 CProjectionEvaluatorPtrA shared pointer wrapper for ompl::base::ProjectionEvaluator
 Compl::base::ProjectionMatrixA projection matrix – it allows multiplication of real vectors by a specified matrix. The matrix can also be randomly generated
 Compl::base::RealVectorBoundsThe lower and upper bounds for an Rn space
 Compl::base::ReedsSheppStateSpace::PathTypeComplete description of a ReedsShepp path
 Compl::base::SamplerSelector< T >Depending on the type of state sampler, we have different allocation routines
 Compl::base::ScopedState< T >Definition of a scoped state
 Compl::base::SolutionNonExistenceProofAbstract definition of a proof for the non-existence of a solution to a problem
 CSolutionNonExistenceProofPtrA shared pointer wrapper for ompl::base::SolutionNonExistenceProof
 Compl::base::SpaceInformationThe base class for space information. This contains all the information about the space planning is done in. setup() needs to be called as well, before use
 Compl::base::TypedSpaceInformation< SpaceType >
 Compl::base::ConstrainedSpaceInformationSpace information for a constrained state space. Implements more direct for getting motion states
 Compl::base::TangentBundleSpaceInformationSpace information for a tangent bundle-based state space. Implements more direct for getting motion states and checking motion, as the lazy approach requires post-processing
 Compl::base::TypedSpaceInformation< SpaceType_ >
 Compl::control::SpaceInformationSpace information containing necessary information for planning with controls. setup() needs to be called before use
 Compl::control::LTLSpaceInformation
 CSpaceInformationPtrA shared pointer wrapper for ompl::base::SpaceInformation
 Compl::base::StateDefinition of an abstract state
 Compl::base::CompoundStateDefinition of a compound state
 Compl::base::KleinBottleStateSpace::StateTypeThe definition of a state (u,v) in the Klein bottle state space. A state is represented as a cylinder with height u in the interval [0, Pi] and angle v in the interval [-Pi, Pi] as in the discussion here: https://en.wikipedia.org/wiki/Klein_bottle#Construction
 Compl::base::MobiusStateSpace::StateTypeThe definition of a state (u,v) in the Mobius strip state space. The variable u is the position on the center circle in the interval [-Pi, Pi] The variable v is the position along the width in the interval [-intervalMax, intervalMax]
 Compl::base::OwenStateSpace::StateType
 Compl::base::SE2StateSpace::StateTypeA state in SE(2): (x, y, yaw)
 Compl::base::SE3StateSpace::StateTypeA state in SE(3): position = (x, y, z), quaternion = (x, y, z, w)
 Compl::base::SphereStateSpace::StateType
 Compl::base::TorusStateSpace::StateType
 Compl::base::VanaOwenStateSpace::StateType
 Compl::base::VanaStateSpace::StateType
 Compl::base::DiscreteStateSpace::StateTypeThe definition of a discrete state
 Compl::base::HybridTimeStateSpace::StateTypeThe definition of a time state
 Compl::base::RealVectorStateSpace::StateTypeThe definition of a state in Rn
 Compl::base::SO2StateSpace::StateTypeThe definition of a state in SO(2)
 Compl::base::SO3StateSpace::StateTypeThe definition of a state in SO(3) represented as a unit quaternion
 Compl::base::TimeStateSpace::StateTypeThe definition of a time state
 Compl::base::WrapperStateSpace::StateTypeWrapper state type. Contains a reference to an underlying state
 Compl::base::ConstrainedStateSpace::StateTypeA State in a ConstrainedStateSpace, represented as a dense real vector of values. For convenience and efficiency of various Constraint related operations, this State inherits from Eigen::Map<Eigen::VectorXd>, mapping the underlying dense double vector into an Eigen::VectorXd. Note that this state type inherits from WrapperStateSpace::StateType, and as such the underlying state can be accessed by getState()
 CStatePropagatorPtrA shared pointer wrapper for ompl::control::StatePropagator
 Compl::base::StateSamplerAbstract definition of a state space sampler
 Compl::base::AtlasStateSamplerStateSampler for use on an atlas
 Compl::base::CForestStateSamplerExtended state sampler to use with the CForest planning algorithm. It wraps the user-specified state sampler
 Compl::base::CompoundStateSamplerDefinition of a compound state sampler. This is useful to construct samplers for compound states
 Compl::base::DeterministicStateSamplerAn abstract class for the concept of using deterministic sampling sequences to decrease the dispersion of the samples
 Compl::base::RealVectorDeterministicStateSamplerDeterministic state sampler for the Rn state space
 Compl::base::SE2DeterministicStateSamplerDeterministic state sampler for the Rn state space
 Compl::base::SO2DeterministicStateSamplerDeterministic state space sampler for SO(2)
 Compl::base::DiscreteStateSamplerState space sampler for discrete states
 Compl::base::HybridTimeStateSamplerState space sampler for time
 Compl::base::InformedStateSamplerA wrapper class that allows an InformedSampler to be used as a StateSampler
 Compl::base::KleinBottleStateSamplerState sampler for the Klein bottle state space
 Compl::base::PrecomputedStateSamplerState space sampler for discrete states
 Compl::base::RealVectorStateSamplerState sampler for the Rn state space
 Compl::base::SO2StateSamplerState space sampler for SO(2)
 Compl::base::SO3StateSamplerState space sampler for SO(3), using quaternion representation
 Compl::base::SphereStateSamplerState sampler for the sphere state space
 Compl::base::SubspaceStateSamplerConstruct a sampler that samples only within a subspace of the space
 Compl::base::TimeStateSamplerState space sampler for time
 Compl::base::TorusStateSamplerState sampler for the torus state space
 Compl::base::WrapperStateSamplerA state sampler that wraps around another state sampler
 Compl::base::ProjectedStateSamplerStateSampler for use for a projection-based state space
 Compl::base::StateSamplerArray< T >Class to ease the creation of a set of samplers. This is especially useful for multi-threaded planners
 CStateSamplerPtrA shared pointer wrapper for ompl::base::StateSampler
 Compl::base::StateSpaceRepresentation of a space in which planning can be performed. Topology specific sampling, interpolation and distance are defined
 Compl::base::CForestStateSpaceWrapperState space wrapper to use together with CForest. It adds some functionalities to the regular state spaces necessary to CForest
 Compl::base::CompoundStateSpaceA space to allow the composition of state spaces
 Compl::base::HybridStateSpaceA state space consisting of a space and a time component
 Compl::base::KleinBottleStateSpaceThe Klein bottle is a 2-dimensional non-orientable surface. In this class, we implement a 3-dimensional immersion of the Bottle
 Compl::base::MobiusStateSpaceThe Mobius strip is a 2-dimensional non-orientable surface
 Compl::base::OwenStateSpaceAn R^3 x SO(2) state space where distance is measured by the length of a type Dubins airplane curves
 Compl::base::SE2StateSpaceA state space representing SE(2)
 Compl::base::DubinsStateSpaceAn SE(2) state space where distance is measured by the length of Dubins curves
 Compl::base::ReedsSheppStateSpaceAn SE(2) state space where distance is measured by the length of Reeds-Shepp curves
 Compl::base::TrochoidStateSpaceAn SE(2) state space where distance is measured by the length of Trochoid shortest paths curves
 Compl::base::SE3StateSpaceA state space representing SE(3)
 Compl::base::SpaceTimeStateSpaceA state space consisting of a space and a time component
 Compl::base::SphereStateSpace
 Compl::base::TorusStateSpace
 Compl::base::VanaOwenStateSpaceAn R^4 x SO(2) state space where distance is measured by the length of a type of Dubins airplane curves
 Compl::base::VanaStateSpaceAn R^4 x SO(2) state space where distance is measured by the length of a type Dubins airplane curves
 Compl::base::DiscreteStateSpaceA space representing discrete states; i.e. there are a small number of discrete states the system can be in. States are represented as integers [lowerBound, upperBound], where lowerBound and upperBound are inclusive. States do not wrap around; i.e. the distance between state lowerBound and state upperBound is upperBound-lowerBound. The dimension of the space is 1
 Compl::base::HybridTimeStateSpaceA state space representing time. The time can be unbounded, in which case enforceBounds() is a no-op, satisfiesBounds() always returns true, sampling uniform time states always produces time 0 and getMaximumExtent() returns 1. If time is bounded (setBounds() has been previously called), the state space behaves as expected. After construction, the state space is unbounded. isBounded() can be used to check if the state space is bounded or not
 Compl::base::RealVectorStateSpaceA state space representing Rn. The distance function is the L2 norm
 CKinematicChainSpace
 CPlanarManipulatorStateSpace
 Compl::base::EmptyStateSpaceA state space representing an empty state space. This is useful for multilevel representations, where some projections might project onto an empty state space
 Compl::vamp::VampStateSpace< Robot >
 Cvamp_state_space.VampStateSpace
 Compl::base::SO2StateSpaceA state space representing SO(2). The distance function and interpolation take into account angle wrapping
 Compl::base::SO3StateSpaceA state space representing SO(3). The internal representation is done with quaternions. The distance between states is the angle between quaternions and interpolation is done with slerp
 Compl::base::TimeStateSpaceA state space representing time. The time can be unbounded, in which case enforceBounds() is a no-op, satisfiesBounds() always returns true, sampling uniform time states always produces time 0 and getMaximumExtent() returns 1. If time is bounded (setBounds() has been previously called), the state space behaves as expected. After construction, the state space is unbounded. isBounded() can be used to check if the state space is bounded or not
 Compl::base::WrapperStateSpaceState space wrapper that transparently passes state space operations through to the underlying space. Allows augmentation of state spaces with additional information
 Compl::base::ConstrainedStateSpaceA StateSpace that has a Constraint imposed upon it. Underlying space functions are passed to the ambient space, and the constraint is used to inform any manifold related operations. setSpaceInformation() must be called in order for collision checking to be done in tandem with manifold traversal
 Compl::base::AtlasStateSpaceConstrainedStateSpace encapsulating a planner-agnostic atlas algorithm for planning on a constraint manifold
 Compl::base::TangentBundleStateSpaceConstrainedStateSpace encapsulating a planner-agnostic lazy atlas algorithm for planning on a constraint manifold
 Compl::base::ProjectedStateSpaceConstrainedStateSpace encapsulating a projection-based methodology for planning with constraints
 Compl::base::StateSpace::SubstateLocationRepresentation of the address of a substate in a state. This structure stores the indexing information needed to access a particular substate of a state
 Compl::base::StateSpace::ValueLocationRepresentation of the address of a value in a state. This structure stores the indexing information needed to access elements of a state (no pointer values are stored)
 CStateSpacePtrA shared pointer wrapper for ompl::base::StateSpace
 Compl::base::StateStorageManage loading and storing for a set of states of a specified state space
 Compl::base::StateStorageWithMetadata< std::vector< std::size_t > >
 Compl::base::StateStorageWithMetadata< M >State storage that allows storing state metadata as well
 Compl::base::StateStorage::HeaderInformation stored at the beginning of the archive
 Compl::base::StateValidityCheckerAbstract definition for a class checking the validity of states. The implementation of this class must be thread safe
 CHyperCubeValidityChecker
 CKinematicChainValidityChecker
 CPlanarManipulatorCollisionChecker
 CR2CollisionChecker
 CSE2CollisionChecker
 Compl::base::AllValidStateValidityCheckerThe simplest state validity checker: all states are valid
 Compl::base::TypedStateValidityChecker< SpaceType_ >
 Compl::vamp::VampStateValidityChecker< Robot, rake >
 Cvamp_state_space.VampStateValidityChecker
 CStateValidityCheckerPtrA shared pointer wrapper for ompl::base::StateValidityChecker
 Compl::base::StateValidityCheckerSpecsProperties that a state validity checker may have
 CThunderRetrieveRepairPtrA shared pointer wrapper for ompl::base::ThunderRetrieveRepair
 Compl::base::TrochoidStateSpace::PathTypeComplete description of a Dubins path
 Compl::base::ValidStateSamplerAbstract definition of a state sampler
 Compl::base::BridgeTestValidStateSamplerGenerate valid samples using bridge test. First sample an invalid state, then sample another invalid state. Take the midpoint of those samples. If midpoint is valid, return. If midpoint is invalid continue
 Compl::base::ConditionalStateSamplerThe Conditional Sampler samples feasible Space-Time States. First, a space configuration is sampled. Then, a feasible time conditioned on the start and goal states is sampled for the space configuration
 Compl::base::ConstrainedValidStateSamplerValid state sampler for constrained state spaces
 Compl::base::GaussianValidStateSamplerGenerate valid samples using the Gaussian sampling strategy
 Compl::base::MaximizeClearanceValidStateSamplerGenerate valid samples randomly, but with a bias towards higher clearance
 Compl::base::MinimumClearanceValidStateSamplerGenerate valid samples randomly with extra requirement of min for clearance to nearest obstacle
 Compl::base::ObstacleBasedValidStateSamplerGenerate valid samples using obstacle based sampling. First sample an invalid state, then sample a valid state. Then, interpolate from the invalid state to the valid state, returning the first valid state encountered
 Compl::base::UniformValidStateSamplerA state sampler that only samples valid states, uniformly
 CValidStateSamplerPtrA shared pointer wrapper for ompl::base::ValidStateSampler
 Compl::base::VanaOwenStateSpace::PathType
 Compl::base::VanaStateSpace::PathType
 Compl::BinaryHeap< _T, LessThan >This class provides an implementation of an updatable min-heap. Using it is a bit cumbersome, as it requires keeping track of the BinaryHeap::Element* type, however, it should be as fast as it gets with an updatable heap
 Compl::BinaryHeap< _T, LessThan >::ElementWhen an element is added to the heap, an instance of Element* is created. This instance contains the data that was added and internal information about the position of the data in the heap's internal storage
 Compl::control::AutomatonA class to represent a deterministic finite automaton, each edge of which corresponds to a World. A system trajectory, by way of project() and worldAtRegion() in PropositionalDecomposition, determines a sequence of Worlds, which are read by an Automaton to determine whether a trajectory satisfies a given specification
 Compl::control::Automaton::TransitionMapEach automaton state has a transition map, which maps from a World to another automaton state. A set \(P\) of true propositions correponds to the formula \(\bigwedge_{p\in P} p\)
 CAutomatonPtrA shared pointer wrapper for ompl::control::Automaton
 Compl::control::ControlDefinition of an abstract control
 Compl::control::CompoundControlDefinition of a compound control
 Compl::control::DiscreteControlSpace::ControlTypeThe definition of a discrete control
 Compl::control::RealVectorControlSpace::ControlTypeThe definition of a control in Rn
 Compl::control::ControlSamplerAbstract definition of a control sampler. Motion planners that need to sample controls will call functions from this class. Planners should call the versions of sample() and sampleNext() with most arguments, whenever this information is available
 CKoulesControlSampler
 Compl::control::CompoundControlSamplerDefinition of a compound control sampler. This is useful to construct samplers for compound controls
 Compl::control::DiscreteControlSamplerControl space sampler for discrete controls
 Compl::control::RealVectorControlUniformSamplerUniform sampler for the Rn state space
 CControlSamplerPtrA shared pointer wrapper for ompl::control::ControlSampler
 Compl::control::ControlSpaceA control space representing the space of applicable controls
 Compl::control::CompoundControlSpaceA control space to allow the composition of control spaces
 Compl::control::DiscreteControlSpaceA space representing discrete controls; i.e. there are a small number of discrete controls the system can react to. Controls are represented as integers [lowerBound, upperBound], where lowerBound and upperBound are inclusive
 Compl::control::RealVectorControlSpaceA control space representing Rn
 CKoulesControlSpace
 CControlSpacePtrA shared pointer wrapper for ompl::control::ControlSpace
 Compl::control::DecompositionA Decomposition is a partition of a bounded Euclidean space into a fixed number of regions which are denoted by integers
 Compl::control::GridDecompositionA GridDecomposition is a Decomposition implemented using a grid
 CKoulesDecomposition
 Compl::control::PropositionalDecompositionA propositional decomposition wraps a given Decomposition with a region-to-proposition assignment operator. Each region in the decomposition has a corresponding World
 Compl::control::PropositionalTriangularDecompositionA PropositionalTriangularDecomposition is a triangulation that ignores obstacles and respects propositional regions of interest. Practically speaking, it is both a TriangularDecomposition and a PropositionalDecomposition, but it is implemented without using multiple inheritance
 Compl::control::TriangularDecompositionA TriangularDecomposition is a triangulation that ignores obstacles
 CDecompositionPtrA shared pointer wrapper for ompl::control::Decomposition
 Compl::control::DirectedControlSamplerAbstract definition of a directed control sampler. Motion planners that need to sample controls that take the system to a desired direction will call functions from this class. Planners should call the versions of sampleTo() with most arguments, whenever this information is available. If no direction information is available, the use of a ControlSampler is perhaps more appropriate
 CKoulesDirectedControlSampler
 Compl::control::SimpleDirectedControlSamplerImplementation of a simple directed control sampler. This is a basic implementation that does not actually take direction into account and builds upon ControlSampler. Instead, a set of k random controls are sampled, and the control that gets the system closest to the target state is returned
 Compl::control::SteeredControlSamplerAbstract definition of a steered control sampler. It uses the steering function in a state propagator to find the controls that drive from one state to another
 CDirectedControlSamplerPtrA shared pointer wrapper for ompl::control::DirectedControlSampler
 Compl::control::EST::MotionRepresentation of a motion
 Compl::control::EST::MotionInfoA struct containing an array of motions and a corresponding PDF element
 Compl::control::EST::TreeDataThe data contained by a tree of exploration
 Compl::control::HyRRT::MotionRepresentation of a motion in the search tree
 Compl::control::HySST::MotionRepresentation of a motion
 Compl::control::HySST::WitnessRepresentation of a witness vertex in the search tree
 Compl::control::KPIECE1::CellDataThe data held by a cell in the grid of motions
 Compl::control::KPIECE1::CloseSampleInformation about a known good sample (closer to the goal than others)
 Compl::control::KPIECE1::CloseSamplesBounded set of good samples
 Compl::control::KPIECE1::MotionRepresentation of a motion for this algorithm
 Compl::control::KPIECE1::OrderCellsByImportanceDefinintion of an operator passed to the Grid structure, to order cells by importance
 Compl::control::KPIECE1::TreeDataThe data defining a tree of motions for this algorithm
 Compl::control::LTLPlanner::MotionRepresentation of a motion
 Compl::control::LTLPlanner::ProductGraphStateInfoA structure to hold measurement information for a high-level state, as well as the set of tree motions belonging to that high-level state. Exactly one ProductGraphStateInfo will exist for each ProductGraph::State
 CLTLProblemDefinitionPtrA shared pointer wrapper for ompl::control::LTLProblemDefinition
 CLTLSpaceInformationPtrA shared pointer wrapper for ompl::control::LTLSpaceInformation
 Compl::control::ODESolverAbstract base class for an object that can solve ordinary differential equations (ODE) of the type q' = f(q,u) using numerical integration. Classes deriving from this must implement the solve method. The user must supply the ODE to solve
 Compl::control::ODEAdaptiveSolver< Solver >Adaptive step size solver for ordinary differential equations of the type q' = f(q, u), where q is the current state of the system and u is a control applied to the system. The maximum integration error is bounded in this approach. Solver is the numerical integration method used to solve the equations, and must implement the error stepper concept from boost::numeric::odeint. The default is a fifth order Runge-Kutta Cash-Karp method with a fourth order error bound
 Compl::control::ODEBasicSolver< Solver >Basic solver for ordinary differential equations of the type q' = f(q, u), where q is the current state of the system and u is a control applied to the system. StateType defines the container object describing the state of the system. Solver is the numerical integration method used to solve the equations. The default is a fourth order Runge-Kutta method. This class wraps around the simple stepper concept from boost::numeric::odeint
 Compl::control::ODEErrorSolver< Solver >Solver for ordinary differential equations of the type q' = f(q, u), where q is the current state of the system and u is a control applied to the system. StateType defines the container object describing the state of the system. Solver is the numerical integration method used to solve the equations. The default is a fifth order Runge-Kutta Cash-Karp method with a fourth order error bound. This class wraps around the error stepper concept from boost::numeric::odeint
 CODESolverPtrA shared pointer wrapper for ompl::control::ODESolver
 Compl::control::PDST::CellCell is a Binary Space Partition
 Compl::control::PDST::MotionClass representing the tree of motions exploring the state space
 Compl::control::PDST::MotionCompareComparator used to order motions in the priority queue
 Compl::control::ProductGraphA ProductGraph represents the weighted, directed, graph-based Cartesian product of a PropositionalDecomposition object, an Automaton corresponding to a co-safe LTL specification, and an Automaton corresponding to a safe LTL specification
 Compl::control::ProductGraph::Edge
 Compl::control::ProductGraph::StateA State of a ProductGraph represents a vertex in the graph-based Cartesian product represented by the ProductGraph. A State is simply a tuple consisting of a PropositionalDecomposition region, a co-safe Automaton state, and a safe Automaton state
 CProductGraphPtrA shared pointer wrapper for ompl::control::ProductGraph
 CPropositionalDecompositionPtrA shared pointer wrapper for ompl::control::PropositionalDecomposition
 Compl::control::RRT::MotionRepresentation of a motion
 Compl::control::SimpleSetupCreate the set of classes typically needed to solve a control problem
 CSimpleSetupPtrA shared pointer wrapper for ompl::control::SimpleSetup
 CSpaceInformationPtrA shared pointer wrapper for ompl::control::SpaceInformation
 Compl::control::SST::MotionRepresentation of a motion
 Compl::control::SST::Witness
 Compl::control::StatePropagatorModel the effect of controls on system states
 CKoulesStatePropagator
 Compl::control::Syclop::AdjacencyRepresentation of an adjacency (a directed edge) between two regions in the Decomposition assigned to Syclop
 Compl::control::Syclop::DefaultsContains default values for Syclop parameters
 Compl::control::Syclop::MotionRepresentation of a motion
 Compl::control::Syclop::RegionRepresentation of a region in the Decomposition assigned to Syclop
 Compl::control::TriangularDecomposition::Polygon
 Compl::control::TriangularDecomposition::Triangle
 Compl::control::TriangularDecomposition::Vertex
 Compl::control::WorldA class to represent an assignment of boolean values to propositions. A World can be partially restrictive, i.e., some propositions do not have to be assigned a value, in which case it can take on any value. Our notion of a World is similar to a set of truth assignments in propositional logic
 Compl::DynamicSSSP
 Compl::FLANNDistance< _T >Wrapper class to allow FLANN access to the NearestNeighbors::distFun_ callback function
 Compl::geometric::aitstar::Edge
 Compl::geometric::aitstar::ImplicitGraph
 Compl::geometric::AOXRRTConnect::MotionRepresentation of a motion
 Compl::geometric::AOXRRTConnect::TreeGrowingInfoInformation attached to growing a tree of motions (used internally)
 Compl::geometric::ATRRT::MotionRepresentation of a motion
 Compl::geometric::ATRRT::MotionCostComparatorBool stating which motion cost is better
 Compl::geometric::BFMT::BiDirMotionRepresentation of a bidirectional motion
 Compl::geometric::BFMT::BiDirMotionCompareComparator used to order motions in a binary heap
 Compl::geometric::BFMT::CostIndexCompare
 Compl::geometric::BiEST::MotionThe definition of a motion
 Compl::geometric::BiRLRT::MotionA motion (tree node) with parent pointer
 Compl::geometric::BiTRRT::MotionRepresentation of a motion in the search tree
 Compl::geometric::BITstar::CostHelperA helper class to handle the various heuristic functions in one place
 Compl::geometric::BITstar::IdGeneratorAn ID generator class for vertex IDs
 Compl::geometric::BITstar::ImplicitGraphA conceptual representation of samples as an edge-implicit random geometric graph
 Compl::geometric::BITstar::SearchQueueA queue of edges, sorted according to a sort key
 Compl::geometric::BITstar::VertexThe vertex of the underlying graphs in gBITstar BIT*
 Compl::geometric::BKPIECE1::MotionRepresentation of a motion for this algorithm
 Compl::geometric::blitstar::ImplicitGraph
 Compl::geometric::Discretization< Motion >One-level discretization used for KPIECE
 Compl::geometric::Discretization< Motion >::CellDataThe data held by a cell in the grid of motions
 Compl::geometric::Discretization< Motion >::OrderCellsByImportanceDefinintion of an operator passed to the Grid structure, to order cells by importance
 CDynamicTimeWarpPtrA shared pointer wrapper for ompl::tools::DynamicTimeWarp
 Compl::geometric::eitstar::EdgeA struct for basic edge data
 Compl::geometric::eitstar::ForwardQueue
 Compl::geometric::eitstar::pair_hash
 Compl::geometric::eitstar::RandomGeometricGraph
 Compl::geometric::eitstar::ReverseQueue
 Compl::geometric::EST::MotionThe definition of a motion
 CExperienceSetupPtrA shared pointer wrapper for ompl::geometric::ExperienceSetup
 Compl::geometric::FMT::CostIndexCompare
 Compl::geometric::FMT::MotionRepresentation of a motion
 Compl::geometric::FMT::MotionCompareComparator used to order motions in a binary heap
 Compl::geometric::GeneticSearchGenetic Algorithm for searching valid states
 Compl::geometric::HillClimbingHill Climbing search
 Compl::geometric::KPIECE1::MotionRepresentation of a motion for this algorithm
 Compl::geometric::KStrategy< Milestone >
 Compl::geometric::KBoundedStrategy< Milestone >Return at most k neighbors, as long as they are also within a specified bound
 Compl::geometric::KStarStrategy< Milestone >Make the minimal number of connections required to ensure asymptotic optimality
 Compl::geometric::LazyLBTRRT::CostEstimatorApx
 Compl::geometric::LazyLBTRRT::CostEstimatorLb
 Compl::geometric::LazyLBTRRT::MotionRepresentation of a motion
 Compl::geometric::LazyPRM::edge_flags_t
 Compl::geometric::LazyPRM::vertex_component_t
 Compl::geometric::LazyPRM::vertex_flags_t
 Compl::geometric::LazyPRM::vertex_state_t
 Compl::geometric::LazyRRT::MotionRepresentation of a motion
 Compl::geometric::LBKPIECE1::MotionRepresentation of a motion for this algorithm
 Compl::geometric::LBTRRT::IsLessThanComparator - metric is the cost to reach state via a specific state
 Compl::geometric::LBTRRT::IsLessThanLBComparator - metric is the lower bound cost
 Compl::geometric::LBTRRT::MotionRepresentation of a motion
 CLightningDBPtrA shared pointer wrapper for ompl::tools::LightningDB
 CLightningPtrA shared pointer wrapper for ompl::tools::Lightning
 Compl::geometric::PathHybridizationGiven multiple geometric paths, attempt to combine them in order to obtain a shorter solution
 CPathHybridizationPtrA shared pointer wrapper for ompl::geometric::PathHybridization
 Compl::geometric::PathSimplifierThis class contains routines that attempt to simplify geometric paths
 CPathSimplifierPtrA shared pointer wrapper for ompl::geometric::PathSimplifier
 Compl::geometric::PDST::CellCell is a Binary Space Partition
 Compl::geometric::PDST::MotionClass representing the tree of motions exploring the state space
 Compl::geometric::PDST::MotionCompareComparator used to order motions in the priority queue
 Compl::geometric::PRM::vertex_state_t
 Compl::geometric::PRM::vertex_successful_connection_attempts_t
 Compl::geometric::PRM::vertex_total_connection_attempts_t
 Compl::geometric::ProjEST::MotionThe definition of a motion
 Compl::geometric::ProjEST::MotionInfoA struct containing an array of motions and a corresponding PDF element
 Compl::geometric::ProjEST::TreeDataThe data contained by a tree of exploration
 Compl::geometric::pRRT::Motion
 Compl::geometric::pRRT::SolutionInfo
 Compl::geometric::pSBL::Motion
 Compl::geometric::pSBL::MotionInfoA struct containing an array of motions and a corresponding PDF element
 Compl::geometric::pSBL::MotionsToBeRemoved
 Compl::geometric::pSBL::PendingRemoveMotion
 Compl::geometric::pSBL::SolutionInfo
 Compl::geometric::pSBL::TreeData
 Compl::geometric::RLRT::MotionA motion (tree node) with parent pointer
 Compl::geometric::RRT::MotionRepresentation of a motion
 Compl::geometric::RRTConnect::MotionRepresentation of a motion
 Compl::geometric::RRTConnect::TreeGrowingInfoInformation attached to growing a tree of motions (used internally)
 Compl::geometric::RRTstar::CostIndexCompare
 Compl::geometric::RRTstar::MotionRepresentation of a motion
 Compl::geometric::RRTXstatic::MotionRepresentation of a motion (node of the tree)
 Compl::geometric::RRTXstatic::MotionCompareDefines the operator to compare motions
 Compl::geometric::SBL::MotionRepresentation of a motion
 Compl::geometric::SBL::MotionInfoA struct containing an array of motions and a corresponding PDF element
 Compl::geometric::SBL::TreeDataRepresentation of a search tree. Two instances will be used. One for start and one for goal
 Compl::geometric::SimpleSetupCreate the set of classes typically needed to solve a geometric problem
 Compl::tools::ExperienceSetupCreate the set of classes typically needed to solve a geometric problem
 Compl::tools::LightningBuilt off of SimpleSetup but provides support for planning from experience
 Compl::tools::ThunderBuilt off of SimpleSetup but provides support for planning from experience
 CSimpleSetupPtrA shared pointer wrapper for ompl::geometric::SimpleSetup
 Compl::geometric::SPARS::vertex_color_t
 Compl::geometric::SPARS::vertex_interface_list_t
 Compl::geometric::SPARS::vertex_list_t
 Compl::geometric::SPARS::vertex_representative_t
 Compl::geometric::SPARS::vertex_state_t
 Compl::geometric::SPARSdb::CandidateSolutionStruct for passing around partially solved solutions
 Compl::geometric::SPARSdb::edge_collision_state_t
 Compl::geometric::SPARSdb::foundGoalException
 Compl::geometric::SPARSdb::InterfaceDataInterface information storage class, which does bookkeeping for criterion four
 Compl::geometric::SPARSdb::InterfaceHashStruct
 Compl::geometric::SPARSdb::vertex_color_t
 Compl::geometric::SPARSdb::vertex_interface_data_t
 Compl::geometric::SPARSdb::vertex_state_t
 Compl::geometric::SPARStwo::InterfaceDataInterface information storage class, which does bookkeeping for criterion four
 Compl::geometric::SPARStwo::vertex_color_t
 Compl::geometric::SPARStwo::vertex_interface_data_t
 Compl::geometric::SPARStwo::vertex_state_t
 Compl::geometric::SST::MotionRepresentation of a motion
 Compl::geometric::SST::Witness
 Compl::geometric::STRIDE::MotionThe definition of a motion
 Compl::geometric::STRRTstar::TreeGrowingInfoInformation attached to growing a tree of motions (used internally)
 Compl::geometric::TaskSpaceConfig
 CPlanarManipTaskSpaceConfig
 CThunderDBPtrA shared pointer wrapper for ompl::tools::ThunderDB
 CThunderPtrA shared pointer wrapper for ompl::tools::Thunder
 Compl::geometric::TRRT::MotionRepresentation of a motion
 Compl::geometric::TRRTstar::CostIndexCompare
 Compl::geometric::TRRTstar::MotionRepresentation of a motion
 Compl::geometric::TSRRT::MotionRepresentation of a motion
 Compl::geometric::XXL::Layer
 Compl::geometric::XXL::Motion
 Compl::geometric::XXL::PerfectSet
 Compl::geometric::XXL::Region
 Compl::geometric::XXLDecomposition
 Compl::geometric::XXLPlanarDecomposition
 CPMXXLDecomposition
 Compl::geometric::XXLPositionDecomposition
 CXXLDecompositionPtrA shared pointer wrapper for ompl::geometric::XXLDecomposition
 Compl::GreedyKCenters< _T >An instance of this class can be used to greedily select a given number of representatives from a set of data points that are all far apart from each other
 Compl::Grid< _T >Representation of a simple grid
 Compl::GridN< _T >Representation of a grid where cells keep track of how many neighbors they have
 Compl::GridB< CellData *, OrderCellsByImportance >
 Compl::GridB< _T, LessThanExternal, LessThanInternal >This class defines a grid that keeps track of its boundary: it distinguishes between interior and exterior cells
 Compl::Grid< _T >::CellDefinition of a cell in this grid
 Compl::Grid< _T >::EqualCoordPtrEquality operator for coordinate pointers
 Compl::Grid< _T >::HashFunCoordPtr
 Compl::Grid< _T >::SortComponentsHelper to sort components by size
 Compl::GridB< _T, LessThanExternal, LessThanInternal >::LessThanExternalCellDefine order for external cells
 Compl::GridB< _T, LessThanExternal, LessThanInternal >::LessThanInternalCellDefine order for internal cells
 Compl::LPAstarOnGraph< Graph, Heuristic >
 Compl::msg::OutputHandlerGeneric class to handle output from a piece of code
 Compl::msg::OutputHandlerFileImplementation of OutputHandler that saves messages in a file
 Compl::msg::OutputHandlerSTDDefault implementation of OutputHandler. This sends the information to the console
 Compl::multilevel::BundleSpaceGraph::ConfigurationA configuration in Bundle-space
 Compl::multilevel::BundleSpaceGraph::EdgeInternalStateAn edge in Bundle-space
 Compl::multilevel::BundleSpaceGraph::GraphMetaData
 Compl::multilevel::BundleSpaceGraphSampler
 Compl::multilevel::BundleSpaceGraphSamplerRandomDegreeVertex
 Compl::multilevel::BundleSpaceGraphSamplerRandomEdge
 Compl::multilevel::BundleSpaceGraphSamplerRandomVertex
 Compl::multilevel::BundleSpaceImportance
 Compl::multilevel::BundleSpaceImportanceExponential
 Compl::multilevel::BundleSpaceImportanceGreedy
 Compl::multilevel::BundleSpaceImportanceUniform
 Compl::multilevel::BundleSpaceMetric
 Compl::multilevel::BundleSpaceMetricGeodesic
 Compl::multilevel::BundleSpacePropagator
 Compl::multilevel::BundleSpacePropagatorGeometric
 Compl::multilevel::BundleSpaceSequence< T >::CmpBundleSpacePtrsCompare function for priority queue
 Compl::multilevel::FindSection
 Compl::multilevel::FindSectionSideStep
 Compl::multilevel::HeadA pointer to a specific location on the base path of the path restriction
 Compl::multilevel::HeadAnalyzer
 Compl::multilevel::PathRestrictionRepresentation of path restriction (union of fibers over a base path)
 Compl::multilevel::PathSectionRepresentation of a path section (not necessarily feasible)
 Compl::multilevel::Projection
 Compl::multilevel::CompoundProjection
 Compl::multilevel::FiberedProjection
 Compl::multilevel::Projection_EmptySet
 Compl::multilevel::Projection_Identity
 Compl::multilevel::Projection_Relaxation
 Compl::multilevel::Projection_None
 Compl::multilevel::Projection_RNSO2_RN
 Compl::multilevel::Projection_RN_RM
 Compl::multilevel::Projection_SE2RN_R2
 Compl::multilevel::Projection_SE2_R2
 Compl::multilevel::Projection_SE3RN_R3
 Compl::multilevel::Projection_SE3_R3
 Compl::multilevel::Projection_SO2N_SO2M
 Compl::multilevel::Projection_XRN_X
 Compl::multilevel::Projection_SE2RN_SE2
 Compl::multilevel::Projection_SE3RN_SE3
 Compl::multilevel::Projection_SO2RN_SO2
 Compl::multilevel::Projection_SO3RN_SO3
 Compl::multilevel::Projection_XRN_XRM
 Compl::multilevel::Projection_SE2RN_SE2RM
 Compl::multilevel::Projection_SE3RN_SE3RM
 Compl::multilevel::Projection_SO2RN_SO2RM
 Compl::multilevel::Projection_SO3RN_SO3RM
 Compl::multilevel::ProjectionFactory
 Compl::NearestNeighbors< _T >Abstract representation of a container that can perform nearest neighbors queries
 Compl::NearestNeighborsFLANN< _T, FLANNDistance< _T > >
 Compl::NearestNeighborsFLANN< _T, _Dist >Wrapper class for nearest neighbor data structures in the FLANN library
 Compl::NearestNeighborsFLANNHierarchicalClustering< _T, _Dist >
 Compl::NearestNeighborsFLANNLinear< _T, _Dist >
 Compl::NearestNeighborsGNAT< _T >Geometric Near-neighbor Access Tree (GNAT), a data structure for nearest neighbor search
 Compl::NearestNeighborsGNATNoThreadSafety< _T >Geometric Near-neighbor Access Tree (GNAT), a data structure for nearest neighbor search
 Compl::NearestNeighborsLinear< _T >A nearest neighbors datastructure that uses linear search
 Compl::NearestNeighborsSqrtApprox< _T >A nearest neighbors datastructure that uses linear search. The linear search is done over sqrt(n) elements only. (Every sqrt(n) elements are skipped)
 Compl::NearestNeighbors< NNElement >
 Compl::NearestNeighborsGNAT< NNElement >
 Compl::NearestNeighbors< std::shared_ptr< ompl::geometric::aitstar::Vertex > >
 Compl::NearestNeighborsGNATNoThreadSafety< std::shared_ptr< ompl::geometric::aitstar::Vertex > >
 Compl::NearestNeighbors< std::shared_ptr< ompl::geometric::blitstar::Vertex > >
 Compl::NearestNeighborsGNATNoThreadSafety< std::shared_ptr< ompl::geometric::blitstar::Vertex > >
 Compl::NearestNeighbors< std::shared_ptr< ompl::geometric::eitstar::State > >
 Compl::NearestNeighborsGNATNoThreadSafety< std::shared_ptr< ompl::geometric::eitstar::State > >
 Compl::NearestNeighborsGNAT< _T >::NodeThe class used internally to define the GNAT
 Compl::NearestNeighborsGNATNoThreadSafety< _T >::NodeThe class used internally to define the GNAT
 Compl::ParameterParameter represents a smooth interpolation between two parameter values, namely valueInit and valueTarget. The default class keeps a counter to track how often it was called. Starting at counterInit we then count towards counterTarget and smoothly interpolate parameter values inbetween
 Compl::ParameterExponentialDecayParameterExponentialDecay represents a smooth interpolation between two parameter values using an exponential decay as interpolation. This decay depends on a paramter lambda, which can be tuned to either converge slow or fast to valueTarget
 Compl::ParameterSmoothStepParameterSmoothStep represents a smooth interpolation between two parameter values using a hermite polynomial interpolation
 Compl::PDF< _T >A container that supports probabilistic sampling over weighted data
 Compl::PDF< _T >::ElementA class that will hold data contained in the PDF
 Compl::PPMLoad and save .ppm files - "portable pixmap format" an image file formats designed to be easily exchanged between platforms
 Compl::PPM::Color
 Compl::ProlateHyperspheroidA class describing a prolate hyperspheroid, a special symmetric type of n-dimensional ellipse, for use in direct informed sampling for problems seeking to minimize path length
 Compl::RNGRandom number generation. An instance of this class cannot be used by multiple threads at once (member functions are not const). However, the constructor is thread safe and different instances can be used safely in any number of threads. It is also guaranteed that all created instances will have a different random seed
 Compl::time::ProgressDisplay
 Compl::tools::BenchmarkBenchmark a set of planners on a problem instance
 Compl::tools::Benchmark::CompleteExperimentThis structure holds experimental data for a set of planners
 Compl::tools::Benchmark::PlannerExperimentThe data collected after running a planner multiple times
 Compl::tools::Benchmark::RequestRepresentation of a benchmark request
 Compl::tools::Benchmark::StatusThis structure contains information about the activity of a benchmark instance. If the instance is running, it is possible to find out information such as which planner is currently being tested or how much
 Compl::tools::DynamicTimeWarp
 Compl::tools::ExperienceSetup::ExperienceLogSingle entry for the csv data logging file
 Compl::tools::ExperienceSetup::ExperienceStatsSimple logging functionality encapsled in a struct
 Compl::tools::LightningDBSave and load entire paths from file
 Compl::tools::OptimizePlanRun one or more motion planners repeatedly (using a specified number of threads), and hybridize solutions, trying to optimize solutions
 Compl::tools::ParallelPlanThis is a utility that allows executing multiple planners in parallel, until one or more find a solution. Optionally, the results are automatically hybridized using ompl::geometric::PathHybridization. Between calls to solve(), the set of known solutions (maintained by ompl::base::Goal) are not cleared, and neither is the hybridization datastructure
 Compl::tools::PlannerMonitorMonitor the properties a planner exposes, as the planner is running. Dump the planner properties to a stream, periodically
 Compl::tools::ProfilerThis is a simple thread-safe tool for counting time spent in various chunks of code. This is different from external profiling tools in that it allows the user to count time spent in various bits of code (sub-function granularity) or count how many times certain pieces of code are executed
 Compl::tools::Profiler::ScopedBlockThis instance will call Profiler::begin() when constructed and Profiler::end() when it goes out of scope
 Compl::tools::Profiler::ScopedStartThis instance will call Profiler::start() when constructed and Profiler::stop() when it goes out of scope. If the profiler was already started, this block's constructor and destructor take no action
 Compl::tools::SelfConfigThis class contains methods that automatically configure various parameters for motion planning. If expensive computation is performed, the results are cached
 Compl::tools::ThunderDBSave and load entire paths from file
 CPlanarManipulator
 CPlannerDataGraph
 Compl::base::PlannerData::GraphWrapper class for the Boost.Graph representation of the PlannerData. This class inherits from a boost::adjacency_list Graph structure
 CPlanningResultResults from a single planning trial
 CPoint2DPlanning.Plane2DEnvironment
 CPolyWorld
 CReadablePropertyMapConcept
 Compl::geometric::SPARSdb::edgeWeightMap
 CSegment
 Cstd::enable_shared_from_this
 Compl::geometric::aitstar::Vertex
 Compl::geometric::blitstar::Vertex
 Compl::geometric::eitstar::StateA wrapper class for OMPL's state
 Compl::geometric::eitstar::VertexThe vertex class for both the forward and reverse search
 Cstd::exceptionSTL class
 Cstd::runtime_errorSTL class
 Compl::ExceptionThe exception type for ompl
 Cstd::hash< std::pair< U, V > >
 Cstd::hash< std::vector< T > >
 Cstd::map< K, T >STL class
 Compl::tools::Benchmark::RunPropertiesThe data collected from a run of a planner is stored as key-value pairs
 Cstd::vector< T >STL class
 Compl::PermutationA permutation of indices into an array
 Cviser_visualizer.viser_visualizer.ViserVisualizer