hpp-core 7.0.0
Implement basic classes for canonical path planning for kinematic chains.
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hpp::core::configurationShooter::Gaussian Class Reference

#include <hpp/core/configuration-shooter/gaussian.hh>

Inheritance diagram for hpp::core::configurationShooter::Gaussian:
Collaboration diagram for hpp::core::configurationShooter::Gaussian:

Public Member Functions

void center (ConfigurationIn_t c)
const Configuration_tcenter () const
void sigma (const value_type &factor)
void sigmas (vectorIn_t s)
const vector_tsigmas () const
Public Member Functions inherited from hpp::core::ConfigurationShooter
virtual Configuration_t shoot () const
 Shoot a random configuration.
virtual void shoot (Configuration_t &q) const
virtual ~ConfigurationShooter ()

Static Public Member Functions

static GaussianPtr_t create (const DevicePtr_t &robot)

Protected Member Functions

 Gaussian (const DevicePtr_t &robot)
void init (const GaussianPtr_t &self)
virtual void impl_shoot (Configuration_t &q) const
Protected Member Functions inherited from hpp::core::ConfigurationShooter
 ConfigurationShooter ()
void init (const ConfigurationShooterWkPtr_t &weak)
 Store weak pointer to itself.

Detailed Description

Sample configuration using a gaussian distribution around a configuration.

Constructor & Destructor Documentation

◆ Gaussian()

hpp::core::configurationShooter::Gaussian::Gaussian(const DevicePtr_t &robot)
inlineprotected

Create a gaussian distribution centered in the robot current configuration. The standard deviation is computed as sigma(0.25)

See also
Gaussian::sigma

Member Function Documentation

◆ center() [1/2]

const Configuration_t & hpp::core::configurationShooter::Gaussian::center()const
inline

◆ center() [2/2]

void hpp::core::configurationShooter::Gaussian::center(ConfigurationIn_tc)
inline

◆ create()

GaussianPtr_t hpp::core::configurationShooter::Gaussian::create(const DevicePtr_t &robot)
inlinestatic

◆ impl_shoot()

virtual void hpp::core::configurationShooter::Gaussian::impl_shoot(Configuration_t &q)const
protectedvirtual

◆ init()

void hpp::core::configurationShooter::Gaussian::init(const GaussianPtr_t &self)
inlineprotected

◆ sigma()

void hpp::core::configurationShooter::Gaussian::sigma(const value_type &factor)

Set the standard deviation proportional to a default value

The default value is:

  • for vector spaces, the difference between the upper and the lower bounds,
  • for SO(n), \(\frac{2\pi}{\sqrt{2n-3}}\) on each of the \( 2n-3 \) dimensions,
  • SE(n) is treated as \( R^n \times SO(n) \).

◆ sigmas() [1/2]

const vector_t & hpp::core::configurationShooter::Gaussian::sigmas()const
inline

◆ sigmas() [2/2]

void hpp::core::configurationShooter::Gaussian::sigmas(vectorIn_ts)
inline

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