Beispiel #1
0
bool KinematicsMetrics::getManipulability(const robot_state::RobotState &state,
                                          const robot_model::JointModelGroup *joint_model_group,
                                          double &manipulability,
                                          bool translation) const
{
  // state.getJacobian() only works for chain groups.
  if(!joint_model_group->isChain())
  {
    return false;
  }
  // Get joint limits penalty
  double penalty = getJointLimitsPenalty(state, joint_model_group);
  if (translation)
  {
    Eigen::MatrixXd jacobian = state.getJacobian(joint_model_group);
    Eigen::JacobiSVD<Eigen::MatrixXd> svdsolver(jacobian.topLeftCorner(3,jacobian.cols()));
    Eigen::MatrixXd singular_values = svdsolver.singularValues();
    for (int i = 0; i < singular_values.rows(); ++i)
      logDebug("moveit.kin_metrics: Singular value: %d %f",i,singular_values(i,0));
    manipulability = penalty * singular_values.minCoeff()/singular_values.maxCoeff();
  }
  else
  {
    Eigen::MatrixXd jacobian = state.getJacobian(joint_model_group);
    Eigen::JacobiSVD<Eigen::MatrixXd> svdsolver(jacobian);
    Eigen::MatrixXd singular_values = svdsolver.singularValues();
    for(int i=0; i < singular_values.rows(); ++i)
      logDebug("moveit.kin_metrics: Singular value: %d %f",i,singular_values(i,0));
    manipulability = penalty * singular_values.minCoeff()/singular_values.maxCoeff();
  }
  return true;
}
  double TRAC_IK::ManipValue2(const KDL::JntArray& arr) {
    KDL::Jacobian jac(arr.data.size());

    jacsolver->JntToJac(arr,jac);

    Eigen::JacobiSVD<Eigen::MatrixXd> svdsolver(jac.data);
    Eigen::MatrixXd singular_values = svdsolver.singularValues();

    return singular_values.minCoeff()/singular_values.maxCoeff();
  }
  double TRAC_IK::ManipValue1(const KDL::JntArray& arr) {
    KDL::Jacobian jac(arr.data.size());

    jacsolver->JntToJac(arr,jac);

    Eigen::JacobiSVD<Eigen::MatrixXd> svdsolver(jac.data);
    Eigen::MatrixXd singular_values = svdsolver.singularValues();

    double error = 1.0;
    for(unsigned int i=0; i < singular_values.rows(); ++i)
      error *= singular_values(i,0);
    return error;
  }