ompl::base::RealVectorDeterministicStateSampler Class Reference

Deterministic state sampler for the Rn state space. More...

#include <ompl/base/samplers/DeterministicStateSampler.h>

Inheritance diagram for ompl::base::RealVectorDeterministicStateSampler:

Public Member Functions

 RealVectorDeterministicStateSampler (const StateSpace *space, DeterministicSamplerType type=DeterministicSamplerType::HALTON)
 Constructor, which creates the sequence internally based on the specified sequence type. Uses the default constructor for the sequence.
 
 RealVectorDeterministicStateSampler (const StateSpace *space, std::shared_ptr< DeterministicSequence > sequence_ptr, bool stretch=true)
 Constructor that takes a pointer to a DeterministicSequence and uses that object instead of its own. This can be used to apply non default options to the deterministic sequence.
 
void sampleUniform (State *state) override
 Sample a state.
 
void sampleUniformNear (State *state, const State *near, double distance) override
 Sample a state near another, within a neighborhood controlled by a distance parameter. More...
 
void sampleGaussian (State *state, const State *mean, double stdDev) override
 Sample a state using a Gaussian distribution with given mean and standard deviation (stdDev). More...
 
- Public Member Functions inherited from ompl::base::DeterministicStateSampler
 DeterministicStateSampler (const StateSpace *space, DeterministicSamplerType type=DeterministicSamplerType::HALTON)
 Constructor, which creates the sequence internally based on the specified sequence type. Uses the default constructor for the sequence.
 
 DeterministicStateSampler (const StateSpace *space, std::shared_ptr< DeterministicSequence > sequence_ptr)
 Constructor that takes a pointer to a DeterministicSequence and uses that object instead of its own. This can be used to apply non default options to the deterministic sequence.
 
- Public Member Functions inherited from ompl::base::StateSampler
 StateSampler (const StateSampler &)=delete
 
StateSampleroperator= (const StateSampler &)=delete
 
 StateSampler (const StateSpace *space)
 Constructor.
 

Additional Inherited Members

- Public Types inherited from ompl::base::DeterministicStateSampler
enum  DeterministicSamplerType { HALTON }
 
- Protected Attributes inherited from ompl::base::DeterministicStateSampler
std::shared_ptr< DeterministicSequencesequence_ptr_
 
- Protected Attributes inherited from ompl::base::StateSampler
const StateSpacespace_
 The state space this sampler samples.
 
RNG rng_
 An instance of a random number generator.
 

Detailed Description

Deterministic state sampler for the Rn state space.

Definition at line 190 of file DeterministicStateSampler.h.

Member Function Documentation

◆ sampleGaussian()

void ompl::base::RealVectorDeterministicStateSampler::sampleGaussian ( State state,
const State mean,
double  stdDev 
)
overridevirtual

Sample a state using a Gaussian distribution with given mean and standard deviation (stdDev).

As with sampleUniform, the implementation of sampleGaussian is specific to the derived class and few assumptions can be made about the distance between state and mean.

Reimplemented from ompl::base::DeterministicStateSampler.

Definition at line 179 of file DeterministicStateSampler.cpp.

◆ sampleUniformNear()

void ompl::base::RealVectorDeterministicStateSampler::sampleUniformNear ( State state,
const State near,
double  distance 
)
overridevirtual

Sample a state near another, within a neighborhood controlled by a distance parameter.

Typically, StateSampler-derived classes will return in state a state that is uniformly distributed within a ball with radius distance defined by the distance function from the corresponding state space. However, this is not guaranteed. For example, the default state sampler for the RealVectorStateSpace returns samples uniformly distributed using L_inf distance, while the default distance function is L_2 distance.

Reimplemented from ompl::base::DeterministicStateSampler.

Definition at line 174 of file DeterministicStateSampler.cpp.


The documentation for this class was generated from the following files: