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/* Author: Ioan Sucan */
#ifndef OMPL_CONTROL_SIMPLE_DIRECTED_CONTROL_SAMPLER_
#define OMPL_CONTROL_SIMPLE_DIRECTED_CONTROL_SAMPLER_
#include "ompl/control/DirectedControlSampler.h"
#include "ompl/control/ControlSampler.h"
namespace ompl
{
namespace control
{
/** \brief Implementation 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.
@par External documentation
K-control sampling is first believed to be proposed in:
S.M. LaValle and J.J. Kuffner, Randomized kinodynamic planning, <em>Intl. J. of Robotics Research</em>, vol. 20, pp. 378–400, May 2001. DOI: [10.1177/02783640122067453](http://dx.doi.org/10.1177/02783640122067453)<br>
[[PDF]](http://ijr.sagepub.com/content/20/5/378.full.pdf)
[[more]](http://msl.cs.uiuc.edu/~lavalle/rrtpubs.html) */
class SimpleDirectedControlSampler : public DirectedControlSampler
{
public:
/** \brief Constructor takes the state space to construct samples for as argument
Optionally, a \e k value can be given to indicate the number of controls to
try when directing a system toward a specific state. Default value is 1. */
SimpleDirectedControlSampler(const SpaceInformation *si, unsigned int k = 1);
virtual ~SimpleDirectedControlSampler();
/** \brief Retrieve the number of controls to generate when finding the best control. */
unsigned int getNumControlSamples () const
{
return numControlSamples_;
}
/** \brief Set the number of controls to generate when finding the best control. */
void setNumControlSamples (unsigned int numSamples)
{
numControlSamples_ = numSamples;
}
/** \brief Sample a control given that it will be applied
to state \e state and the intention is to reach state
\e dest. This is useful for some algorithms that
have a notion of direction in their exploration (e.g.,
\ref cRRT). Furthermore, return the duration for which
this control should be applied. The state
\e dest is modified to match the state reached with the computed
control and duration. The motion is checked for validity. */
virtual unsigned int sampleTo(Control *control, const base::State *source, base::State *dest);
/** \brief Sample a control given that it will be applied
to state \e state and the intention is to reach state
\e dest. Also take into account the fact that the
previously applied control is \e previous. This is
useful for some algorithms that have a notion of
direction in their exploration (e.g.,
\ref cRRT). Furthermore, return the duration for which
this control should be applied. The state \e dest is
modified to match the state reached with the computed
control and duration. The motion is checked for validity. */
virtual unsigned int sampleTo(Control *control, const Control *previous, const base::State *source, base::State *dest);
protected:
/** \brief Samples \e numControlSamples_ controls, and returns the
control that brings the system the closest to \e target */
virtual unsigned int getBestControl (Control *control, const base::State *source, base::State *dest, const Control *previous);
/** \brief An instance of the control sampler*/
ControlSamplerPtr cs_;
/** \brief The number of controls to sample when finding the best control*/
unsigned int numControlSamples_;
};
}
}
#endif
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