chomp_optimizer.h

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#ifndef CHOMP_OPTIMIZER_H_
#define CHOMP_OPTIMIZER_H_

#include <chomp_motion_planner/chomp_parameters.h>
#include <chomp_motion_planner/chomp_trajectory.h>
#include <chomp_motion_planner/chomp_cost.h>
#include <chomp_motion_planner/multivariate_gaussian.h>
#include <planning_models/robot_model.h>
#include <planning_scene/planning_scene.h>
#include <collision_distance_field/collision_robot_hybrid.h>
#include <collision_distance_field/collision_world_hybrid.h>


#include <Eigen/Core>

#include <vector>

namespace chomp
{

class ChompOptimizer
{
public:
  ChompOptimizer(ChompTrajectory *trajectory,
                 const planning_scene::PlanningSceneConstPtr& planning_scene,
                 const std::string& planning_group,
                 const ChompParameters *parameters,
                 const planning_models::RobotState& start_state);

  virtual ~ChompOptimizer();

  void optimize();

  inline void destroy()
  {
    //Nothing for now.
  }

  bool isInitialized() const {
    return initialized_;
  }

private:

  inline double getPotential(double field_distance, double radius, double clearence)
  {
    double d = field_distance - radius;
    double potential = 0.0;

    // three cases below:
    if (d >= clearence)
    {
      potential = 0.0;
    }
    else if (d >= 0.0)
    {
      double diff = (d - clearence);
      double gradient_magnitude = diff * clearence; // (diff / clearance)
      potential = 0.5*gradient_magnitude*diff;
    }
    else // if d < 0.0
    {
      potential = -d + 0.5 * clearence;
    }

    return potential;
  }
  template<typename Derived>
  void getJacobian(int trajectoryPoint,
                   Eigen::Vector3d& collision_point_pos,
                   std::string& jointName,
                   Eigen::MatrixBase<Derived>& jacobian) const;

  // void getRandomState(const planning_models::RobotState& currentState,
  //                     const std::string& group_name,
  //                     Eigen::VectorXd& state_vec);

  void setRobotStateFromPoint(ChompTrajectory& group_trajectory,
                              int i);

  //collision_proximity::CollisionProximitySpace::TrajectorySafety checkCurrentIterValidity();

  int num_joints_;
  int num_vars_free_;
  int num_vars_all_;
  int num_collision_points_;
  int free_vars_start_;
  int free_vars_end_;
  int iteration_;
  unsigned int collision_free_iteration_;

  ChompTrajectory *full_trajectory_;
  const planning_models::RobotModelConstPtr& kmodel_;
  std::string planning_group_;
  const ChompParameters *parameters_;
  ChompTrajectory group_trajectory_;
  planning_scene::PlanningSceneConstPtr planning_scene_;
  planning_models::RobotState *state_;
  planning_models::RobotState *start_state_;
  const planning_models::RobotModel::JointModelGroup* joint_model_group_;
  const collision_detection::CollisionWorldHybrid* hy_world_;
  const collision_detection::CollisionRobotHybrid* hy_robot_;

  std::vector<ChompCost> joint_costs_;
  boost::shared_ptr<collision_detection::GroupStateRepresentation> gsr_;
  bool initialized_;

  std::vector<std::vector<std::string> > collision_point_joint_names_;
  std::vector<std::vector<Eigen::Vector3d > > collision_point_pos_eigen_;
  std::vector<std::vector<Eigen::Vector3d > > collision_point_vel_eigen_;
  std::vector<std::vector<Eigen::Vector3d > > collision_point_acc_eigen_;
  std::vector<std::vector<double> > collision_point_potential_;
  std::vector<std::vector<double> > collision_point_vel_mag_;
  std::vector<std::vector<Eigen::Vector3d> > collision_point_potential_gradient_;
  std::vector<std::vector<Eigen::Vector3d> > joint_axes_;
  std::vector<std::vector<Eigen::Vector3d> > joint_positions_;
  Eigen::MatrixXd group_trajectory_backup_;
  Eigen::MatrixXd best_group_trajectory_;
  double best_group_trajectory_cost_;
  int last_improvement_iteration_;
  unsigned int num_collision_free_iterations_;

  // HMC stuff:
  Eigen::MatrixXd momentum_;
  Eigen::MatrixXd random_momentum_;
  Eigen::VectorXd random_joint_momentum_; //temporary variable
  std::vector<MultivariateGaussian> multivariate_gaussian_;
  double stochasticity_factor_;

  std::vector<int> state_is_in_collision_;      
  std::vector<std::vector<int> > point_is_in_collision_;
  bool is_collision_free_;
  double worst_collision_cost_state_;

  Eigen::MatrixXd smoothness_increments_;
  Eigen::MatrixXd collision_increments_;
  Eigen::MatrixXd final_increments_;

  // temporary variables for all functions:
  Eigen::VectorXd smoothness_derivative_;
  Eigen::MatrixXd jacobian_;
  Eigen::MatrixXd jacobian_pseudo_inverse_;
  Eigen::MatrixXd jacobian_jacobian_tranpose_;
  Eigen::VectorXd random_state_;
  Eigen::VectorXd joint_state_velocities_;

  std::vector<std::string> joint_names_;
  std::map<std::string, std::map<std::string, bool> > joint_parent_map_;

  inline bool isParent(const std::string& childLink, const std::string& parentLink) const
  {
    if(childLink == parentLink)
    {
      return true;
    }

    if(joint_parent_map_.find(childLink) == joint_parent_map_.end())
    {
      //ROS_ERROR("%s was not in joint parent map! for lookup of %s", childLink.c_str(), parentLink.c_str());
      return false;
    }
    const std::map<std::string, bool>& parents = joint_parent_map_.at(childLink);
    return (parents.find(parentLink) != parents.end() && parents.at(parentLink));
  }

  void registerParents(const planning_models::RobotModel::JointModel* model);
  void initialize();
  void calculateSmoothnessIncrements();
  void calculateCollisionIncrements();
  void calculateTotalIncrements();
  void performForwardKinematics();
  void addIncrementsToTrajectory();
  void updateFullTrajectory();
  void debugCost();
  void handleJointLimits();
  double getTrajectoryCost();
  double getSmoothnessCost();
  double getCollisionCost();
  void perturbTrajectory();
  void getRandomMomentum();
  void updateMomentum();
  void updatePositionFromMomentum();
  void calculatePseudoInverse();
  void computeJointProperties(int trajectoryPoint);
  bool isCurrentTrajectoryMeshToMeshCollisionFree() const;
};

}

#endif /* CHOMP_OPTIMIZER_H_ */