Program Listing for File KPIECE1.h
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/* Author: Ioan Sucan */
#ifndef OMPL_CONTROL_PLANNERS_KPIECE_KPIECE1_
#define OMPL_CONTROL_PLANNERS_KPIECE_KPIECE1_
#include "ompl/control/planners/PlannerIncludes.h"
#include "ompl/base/ProjectionEvaluator.h"
#include "ompl/datastructures/GridB.h"
#include <vector>
#include <set>
namespace ompl
{
namespace control
{
class KPIECE1 : public base::Planner
{
public:
KPIECE1(const SpaceInformationPtr &si);
~KPIECE1() override;
base::PlannerStatus solve(const base::PlannerTerminationCondition &ptc) override;
void clear() override;
void setGoalBias(double goalBias)
{
goalBias_ = goalBias;
}
double getGoalBias() const
{
return goalBias_;
}
void setBorderFraction(double bp)
{
selectBorderFraction_ = bp;
}
double getBorderFraction() const
{
return selectBorderFraction_;
}
void setCellScoreFactor(double good, double bad)
{
setGoodCellScoreFactor(good);
setBadCellScoreFactor(bad);
}
void setBadCellScoreFactor(double bad)
{
badScoreFactor_ = bad;
}
void setGoodCellScoreFactor(double good)
{
goodScoreFactor_ = good;
}
double getGoodCellScoreFactor() const
{
return goodScoreFactor_;
}
double getBadCellScoreFactor() const
{
return badScoreFactor_;
}
void setMaxCloseSamplesCount(unsigned int nCloseSamples)
{
nCloseSamples_ = nCloseSamples;
}
unsigned int getMaxCloseSamplesCount() const
{
return nCloseSamples_;
}
void setProjectionEvaluator(const base::ProjectionEvaluatorPtr &projectionEvaluator)
{
projectionEvaluator_ = projectionEvaluator;
}
void setProjectionEvaluator(const std::string &name)
{
projectionEvaluator_ = si_->getStateSpace()->getProjection(name);
}
const base::ProjectionEvaluatorPtr &getProjectionEvaluator() const
{
return projectionEvaluator_;
}
void setup() override;
void getPlannerData(base::PlannerData &data) const override;
protected:
struct Motion
{
Motion() = default;
Motion(const SpaceInformation *si)
: state(si->allocState()), control(si->allocControl())
{
}
~Motion() = default;
base::State *state{nullptr};
Control *control{nullptr};
unsigned int steps{0};
Motion *parent{nullptr};
};
struct CellData
{
CellData() = default;
~CellData() = default;
std::vector<Motion *> motions;
double coverage{0.0};
unsigned int selections{1};
double score{1.0};
unsigned int iteration{0};
double importance{0.0};
};
struct OrderCellsByImportance
{
bool operator()(const CellData *const a, const CellData *const b) const
{
return a->importance > b->importance;
}
};
using Grid = GridB<CellData *, OrderCellsByImportance>;
struct CloseSample
{
CloseSample(Grid::Cell *c, Motion *m, double d) : cell(c), motion(m), distance(d)
{
}
Grid::Cell *cell;
Motion *motion;
double distance;
bool operator<(const CloseSample &other) const
{
return distance < other.distance;
}
};
struct CloseSamples
{
CloseSamples(unsigned int size) : maxSize(size)
{
}
bool consider(Grid::Cell *cell, Motion *motion, double distance);
bool selectMotion(Motion *&smotion, Grid::Cell *&scell);
bool canSample() const
{
return !samples.empty();
}
unsigned int maxSize;
std::set<CloseSample> samples;
};
struct TreeData
{
TreeData() = default;
Grid grid{0};
unsigned int size{0};
unsigned int iteration{1};
};
static void computeImportance(Grid::Cell *cell, void * /*unused*/)
{
CellData &cd = *(cell->data);
cd.importance = cd.score / ((cell->neighbors + 1) * cd.coverage * cd.selections);
}
void freeMemory();
void freeGridMotions(Grid &grid);
void freeCellData(CellData *cdata);
void freeMotion(Motion *motion);
Grid::Cell *addMotion(Motion *motion, double dist);
bool selectMotion(Motion *&smotion, Grid::Cell *&scell);
unsigned int findNextMotion(const std::vector<Grid::Coord> &coords, unsigned int index, unsigned int count);
ControlSamplerPtr controlSampler_;
TreeData tree_;
const SpaceInformation *siC_;
base::ProjectionEvaluatorPtr projectionEvaluator_;
double goodScoreFactor_{0.9};
double badScoreFactor_{0.45};
unsigned int nCloseSamples_{30};
double selectBorderFraction_{0.8};
double goalBias_{0.05};
RNG rng_;
Motion *lastGoalMotion_{nullptr};
};
}
}
#endif