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/* Author: Florian Hauer */

#ifndef OMPL_GEOMETRIC_PLANNERS_RRT_RRTsharp_
#define OMPL_GEOMETRIC_PLANNERS_RRT_RRTsharp_

#include "ompl/geometric/planners/rrt/RRTXstatic.h"

namespace ompl
{
    namespace geometric
    {
        /**
           @anchor gRRTsharp
           @par Short description
           \ref gRRTsharp "RRT#" is an asymptotically-optimal incremental
           sampling-based motion planning algorithm. It is similar from  \ref gRRTXstatic "RRTXstatic"
           but maintains an optimal tree, same as \ref gRRTXstatic "RRTXstatic" with a treshold 0.\n
           The parameters are the same as \ref gRRTXstatic "RRTXstatic" except for the parameter epsilon.
           @par External documentation
           -# M. Otte & E. Frazzoli - RRTX : Real-Time Motion Planning/Replanning for Environments with Unpredictable
           Obstacles,
           Algorithmic Foundations of Robotics XI,
           Volume 107 of the series Springer Tracts in Advanced Robotics pp 461-478
           -# O. Arslan, P. Tsiotras - The role of vertex consistency in sampling-based algorithms for optimal motion
           planning,
           http://arxiv.org/pdf/1204.6453
           -# O. Arslan, P. Tsiotras - Dynamic programming guided exploration for sampling-based motion planning
           algorithms,
           2015 IEEE International Conference on Robotics and Automation (ICRA), pp 4819-4826
        */

        /** \brief Optimal Rapidly-exploring Random Trees Maintaining An Optimal Tree*/
        class RRTsharp : public RRTXstatic
        {
        public:
            RRTsharp(const base::SpaceInformationPtr &si);

            /** \brief Overwrite of RRTXstatic setEpsilon. It does nothing but warn the user that this parameter cannot
             * be
             * changed */
            void setEpsilon(double epsilon)
            {
                OMPL_WARN("The parameter epsilon is 0 for the %s algorithm, it cannot be changed.", getName().c_str());
            }
        };
    }
}

#endif
