VFMechanicalWorkOptimizationObjective.h

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/* Authors: Caleb Voss, Wilson Beebe */

#ifndef OMPL_BASE_OBJECTIVES_VF_MECHANICAL_WORK_OPTIMIZATION_OBJECTIVE_
#define OMPL_BASE_OBJECTIVES_VF_MECHANICAL_WORK_OPTIMIZATION_OBJECTIVE_

#include "ompl/base/objectives/MechanicalWorkOptimizationObjective.h"
#include "ompl/geometric/planners/rrt/VFRRT.h"

namespace ompl
{
    namespace base
    {

        class VFMechanicalWorkOptimizationObjective : public ompl::base::MechanicalWorkOptimizationObjective
        {

        public:

            VFMechanicalWorkOptimizationObjective(const ompl::base::SpaceInformationPtr &si,
                const geometric::VFRRT::VectorField& vf)
                : ompl::base::MechanicalWorkOptimizationObjective(si), vf_(vf)
            {
            }

            bool isSatisfied(ompl::base::Cost c) const
            {
                return false;
            }

            ompl::base::Cost motionCost(const ompl::base::State *s1, const ompl::base::State *s2) const
            {
                const base::StateSpacePtr &space = si_->getStateSpace();
                // Per equation 7 in the paper
                Eigen::VectorXd f = vf_(s2);
                unsigned int vfdim = f.size();
                Eigen::VectorXd qprime(vfdim);

                for (unsigned int i = 0; i < vfdim; i++)
                    qprime[i] = *space->getValueAddressAtIndex(s2, i)
                        - *space->getValueAddressAtIndex(s1, i);

                // Don't included negative work
                double positiveCostAccrued = std::max(-(f.dot(qprime)), 0.);
                return ompl::base::Cost(positiveCostAccrued + pathLengthWeight_ * si_->distance(s1, s2));
            }

            bool isSymmetric(void) const
            {
                return false;
            }

        protected:
            geometric::VFRRT::VectorField vf_;
        };
    }
}

#endif