moveit2
The MoveIt Motion Planning Framework for ROS 2.
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chomp_cost.cpp
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34
35/* Author: Mrinal Kalakrishnan */
36
39
40#include <eigen3/Eigen/LU>
41
42using namespace Eigen;
43using namespace std;
44
45namespace chomp
46{
47ChompCost::ChompCost(const ChompTrajectory& trajectory, int /* joint_number */,
48 const std::vector<double>& derivative_costs, double ridge_factor)
49{
50 int num_vars_all = trajectory.getNumPoints();
51 int num_vars_free = num_vars_all - 2 * (DIFF_RULE_LENGTH - 1);
52 MatrixXd diff_matrix = MatrixXd::Zero(num_vars_all, num_vars_all);
53 quad_cost_full_ = MatrixXd::Zero(num_vars_all, num_vars_all);
54
55 // construct the quad cost for all variables, as a sum of squared differentiation matrices
56 double multiplier = 1.0;
57 for (unsigned int i = 0; i < derivative_costs.size(); ++i)
58 {
59 multiplier *= trajectory.getDiscretization();
60 diff_matrix = getDiffMatrix(num_vars_all, &DIFF_RULES[i][0]);
61 quad_cost_full_ += (derivative_costs[i] * multiplier) * (diff_matrix.transpose() * diff_matrix);
62 }
63 quad_cost_full_ += MatrixXd::Identity(num_vars_all, num_vars_all) * ridge_factor;
64
65 // extract the quad cost just for the free variables:
66 quad_cost_ = quad_cost_full_.block(DIFF_RULE_LENGTH - 1, DIFF_RULE_LENGTH - 1, num_vars_free, num_vars_free);
67
68 // invert the matrix:
69 quad_cost_inv_ = quad_cost_.inverse();
70
71 // cout << quad_cost_inv_ << endl;
72}
73
74Eigen::MatrixXd ChompCost::getDiffMatrix(int size, const double* diff_rule) const
75{
76 MatrixXd matrix = MatrixXd::Zero(size, size);
77 for (int i = 0; i < size; ++i)
78 {
79 for (int j = -DIFF_RULE_LENGTH / 2; j <= DIFF_RULE_LENGTH / 2; ++j)
80 {
81 int index = i + j;
82 if (index < 0)
83 continue;
84 if (index >= size)
85 continue;
86 matrix(i, index) = diff_rule[j + DIFF_RULE_LENGTH / 2];
87 }
88 }
89 return matrix;
90}
91
93{
94 return quad_cost_inv_.maxCoeff();
95}
96
97void ChompCost::scale(double scale)
98{
99 double inv_scale = 1.0 / scale;
100 quad_cost_inv_ *= inv_scale;
101 quad_cost_ *= scale;
102 quad_cost_full_ *= scale;
103}
104
105ChompCost::~ChompCost() = default;
106} // namespace chomp
ChompCost(const ChompTrajectory &trajectory, int joint_number, const std::vector< double > &derivative_costs, double ridge_factor=0.0)
double getMaxQuadCostInvValue() const
virtual ~ChompCost()
void scale(double scale)
Represents a discretized joint-space trajectory for CHOMP.
double getDiscretization() const
Gets the discretization time interval of the trajectory.
size_t getNumPoints() const
Gets the number of points in the trajectory.