constrained_sampler.cpp

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/* Author: Ioan Sucan */
 
#include <moveit/ompl_interface/detail/constrained_sampler.hpp>
#include <moveit/ompl_interface/model_based_planning_context.hpp>
 
#include <utility>
 
ompl_interface::ConstrainedSampler::ConstrainedSampler(const ModelBasedPlanningContext* pc,
                                                       constraint_samplers::ConstraintSamplerPtr cs)
  : ob::StateSampler(pc->getOMPLStateSpace().get())
  , planning_context_(pc)
  , default_(space_->allocDefaultStateSampler())
  , constraint_sampler_(std::move(cs))
  , work_state_(pc->getCompleteInitialRobotState())
  , constrained_success_(0)
  , constrained_failure_(0)
{
  inv_dim_ = space_->getDimension() > 0 ? 1.0 / static_cast<double>(space_->getDimension()) : 1.0;
}
 
double ompl_interface::ConstrainedSampler::getConstrainedSamplingRate() const
{
  if (constrained_success_ == 0)
  {
    return 0.0;
  }
  else
  {
    return static_cast<double>(constrained_success_) / static_cast<double>(constrained_success_ + constrained_failure_);
  }
}
 
bool ompl_interface::ConstrainedSampler::sampleC(ob::State* state)
{
  if (constraint_sampler_->sample(work_state_, planning_context_->getCompleteInitialRobotState(),
                                  planning_context_->getMaximumStateSamplingAttempts()))
  {
    planning_context_->getOMPLStateSpace()->copyToOMPLState(state, work_state_);
    if (space_->satisfiesBounds(state))
    {
      ++constrained_success_;
      return true;
    }
  }
  ++constrained_failure_;
  return false;
}
 
void ompl_interface::ConstrainedSampler::sampleUniform(ob::State* state)
{
  if (!sampleC(state) && !sampleC(state) && !sampleC(state))
    default_->sampleUniform(state);
}
 
void ompl_interface::ConstrainedSampler::sampleUniformNear(ob::State* state, const ob::State* near,
                                                           const double distance)
{
  if (sampleC(state) || sampleC(state) || sampleC(state))
  {
    double total_d = space_->distance(state, near);
    if (total_d > distance)
    {
      double dist = pow(rng_.uniform01(), inv_dim_) * distance;
      space_->interpolate(near, state, dist / total_d, state);
    }
  }
  else
    default_->sampleUniformNear(state, near, distance);
}
 
void ompl_interface::ConstrainedSampler::sampleGaussian(ob::State* state, const ob::State* mean, const double stdDev)
{
  if (sampleC(state) || sampleC(state) || sampleC(state))
  {
    double total_d = space_->distance(state, mean);
    double distance = rng_.gaussian(0.0, stdDev);
    if (total_d > distance)
    {
      double dist = pow(rng_.uniform01(), inv_dim_) * distance;
      space_->interpolate(mean, state, dist / total_d, state);
    }
  }
  else
    default_->sampleGaussian(state, mean, stdDev);
}