chomp_interface_ros.cpp

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/* Author: E. Gil Jones */

#include <chomp_interface_ros/chomp_interface_ros.h>

namespace chomp_interface_ros
{

CHOMPInterfaceROS::CHOMPInterfaceROS(const planning_models::RobotModelConstPtr& kmodel) :
  ChompPlanner(kmodel), nh_("~")
{
  loadParams();
}

void CHOMPInterfaceROS::loadParams() {
  nh_.param("planning_time_limit", params_.planning_time_limit_, 6.0);
  nh_.param("max_iterations", params_.max_iterations_, 50);
  nh_.param("max_iterations_after_collision_free", params_.max_iterations_after_collision_free_, 5);
  nh_.param("smoothness_cost_weight", params_.smoothness_cost_weight_, 0.1);
  nh_.param("obstacle_cost_weight", params_.obstacle_cost_weight_, 1.0);
  nh_.param("learning_rate", params_.learning_rate_, 0.01);
  nh_.param("animate_path", params_.animate_path_, true);
  nh_.param("add_randomness", params_.add_randomness_, false);
  nh_.param("smoothness_cost_velocity", params_.smoothness_cost_velocity_, 0.0);
  nh_.param("smoothness_cost_acceleration", params_.smoothness_cost_acceleration_, 1.0);
  nh_.param("smoothness_cost_jerk", params_.smoothness_cost_jerk_, 0.0);
  nh_.param("hmc_discretization", params_.hmc_discretization_, 0.01);
  nh_.param("hmc_stochasticity", params_.hmc_stochasticity_, 0.01);
  nh_.param("hmc_annealing_factor", params_.hmc_annealing_factor_, 0.99);
  nh_.param("use_hamiltonian_monte_carlo", params_.use_hamiltonian_monte_carlo_, false);
  nh_.param("ridge_factor", params_.ridge_factor_, 0.0);
  nh_.param("use_pseudo_inverse", params_.use_pseudo_inverse_, false);
  nh_.param("pseudo_inverse_ridge_factor", params_.pseudo_inverse_ridge_factor_, 1e-4);
  nh_.param("animate_endeffector", params_.animate_endeffector_, false);
  nh_.param("animate_endeffector_segment", params_.animate_endeffector_segment_, std::string("r_gripper_tool_frame"));
  nh_.param("joint_update_limit", params_.joint_update_limit_, 0.1);
  nh_.param("collision_clearence", params_.min_clearence_, 0.2);
  nh_.param("collision_threshold", params_.collision_threshold_, 0.07);
  nh_.param("random_jump_amount", params_.random_jump_amount_, 1.0);
  nh_.param("use_stochastic_descent", params_.use_stochastic_descent_, true);
  //filter_mode_ = false;
}


}