Directory: | ./ |
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File: | src/steering-method/spline.cc |
Date: | 2024-12-13 16:14:03 |
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1 | // Copyright (c) 2017, Joseph Mirabel | ||
2 | // Authors: Joseph Mirabel (joseph.mirabel@laas.fr) | ||
3 | // | ||
4 | |||
5 | // Redistribution and use in source and binary forms, with or without | ||
6 | // modification, are permitted provided that the following conditions are | ||
7 | // met: | ||
8 | // | ||
9 | // 1. Redistributions of source code must retain the above copyright | ||
10 | // notice, this list of conditions and the following disclaimer. | ||
11 | // | ||
12 | // 2. Redistributions in binary form must reproduce the above copyright | ||
13 | // notice, this list of conditions and the following disclaimer in the | ||
14 | // documentation and/or other materials provided with the distribution. | ||
15 | // | ||
16 | // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | ||
17 | // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | ||
18 | // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | ||
19 | // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | ||
20 | // HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | ||
21 | // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | ||
22 | // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | ||
23 | // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | ||
24 | // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | ||
25 | // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
26 | // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH | ||
27 | // DAMAGE. | ||
28 | |||
29 | #include <hpp/constraints/svd.hh> | ||
30 | #include <hpp/core/distance.hh> | ||
31 | #include <hpp/core/path/spline.hh> | ||
32 | #include <hpp/core/problem.hh> | ||
33 | #include <hpp/core/steering-method/spline.hh> | ||
34 | #include <hpp/pinocchio/configuration.hh> | ||
35 | #include <hpp/pinocchio/device.hh> | ||
36 | #include <hpp/pinocchio/liegroup.hh> | ||
37 | |||
38 | namespace hpp { | ||
39 | namespace core { | ||
40 | namespace steeringMethod { | ||
41 | template <int _PB, int _SO> | ||
42 | 2 | PathPtr_t Spline<_PB, _SO>::impl_compute(ConfigurationIn_t q1, | |
43 | ConfigurationIn_t q2) const { | ||
44 | enum { NDerivativeConstraintPerSide = int((SplineOrder + 1 - 2) / 2) }; | ||
45 | typedef Eigen::Matrix<value_type, Eigen::Dynamic, | ||
46 | NDerivativeConstraintPerSide> | ||
47 | DerMatrix_t; | ||
48 | typedef typename DerMatrix_t::ConstantReturnType DefaultDerivatives_t; | ||
49 | |||
50 |
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2 | DefaultDerivatives_t defaultDer(DerMatrix_t::Zero( |
51 | device_.lock()->numberDof(), NDerivativeConstraintPerSide)); | ||
52 |
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2 | std::vector<int> orders(NDerivativeConstraintPerSide); |
53 |
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2 | for (std::size_t i = 0; i < NDerivativeConstraintPerSide; ++i) |
54 | ✗ | orders[i] = int(i + 1); | |
55 |
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4 | return impl_compute(q1, orders, defaultDer, q2, orders, defaultDer, -1); |
56 | } | ||
57 | |||
58 | template <int _PB, int _SO> | ||
59 | 130 | PathPtr_t Spline<_PB, _SO>::steer(ConfigurationIn_t q1, std::vector<int> order1, | |
60 | matrixIn_t derivatives1, ConfigurationIn_t q2, | ||
61 | std::vector<int> order2, | ||
62 | matrixIn_t derivatives2, | ||
63 | value_type length) const { | ||
64 | // Check the size of the derivatives. | ||
65 |
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130 | assert(q1.size() == device_.lock()->configSize()); |
66 |
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130 | assert(q1.size() == q2.size()); |
67 |
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130 | assert(derivatives1.rows() == device_.lock()->numberDof()); |
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130 | assert(derivatives2.rows() == device_.lock()->numberDof()); |
69 | return impl_compute(q1, order1, derivatives1, q2, order2, derivatives2, | ||
70 |
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130 | length); |
71 | } | ||
72 | |||
73 | template <int _PB, int _SO> | ||
74 | template <typename Derived> | ||
75 | 132 | PathPtr_t Spline<_PB, _SO>::impl_compute( | |
76 | ConfigurationIn_t q1, std::vector<int> order1, | ||
77 | const Eigen::MatrixBase<Derived>& derivatives1, ConfigurationIn_t q2, | ||
78 | std::vector<int> order2, const Eigen::MatrixBase<Derived>& derivatives2, | ||
79 | value_type length) const { | ||
80 | // Compute the decomposition | ||
81 | // typedef Eigen::Matrix<value_type, SplineOrder+1, SplineOrder+1> | ||
82 | // ConstraintMatrix_t; | ||
83 | typedef Eigen::Matrix<value_type, Eigen::Dynamic, SplineOrder + 1, | ||
84 | Eigen::RowMajor> | ||
85 | ConstraintMatrix_t; | ||
86 | typedef Eigen::Matrix<value_type, Eigen::Dynamic, Eigen::Dynamic, | ||
87 | Eigen::RowMajor> | ||
88 | RhsMatrix_t; | ||
89 | |||
90 |
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132 | if (length <= 0) { |
91 | 24 | DistancePtr_t d = problem()->distance(); | |
92 |
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24 | length = (*d)(q1, q2); |
93 | } | ||
94 |
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262 | SplinePathPtr_t p = |
95 | 132 | SplinePath::create(device_.lock(), interval_t(0, length), constraints()); | |
96 | |||
97 | 130 | const size_type nbConstraints = 2 + derivatives1.cols() + derivatives2.cols(); | |
98 |
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132 | ConstraintMatrix_t coeffs(nbConstraints, SplineOrder + 1); |
99 |
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130 | RhsMatrix_t rhs(nbConstraints, device_.lock()->numberDof()); |
100 | |||
101 |
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132 | p->base(q1); // TODO use the center ? |
102 | // p->base(device_.lock()->neutralConfiguration()); // TODO use the center ? | ||
103 | // Configuration_t qmiddle (q1.size()); | ||
104 | // pinocchio::interpolate<pinocchio::RnxSOnLieGroupMap>(device_.lock(), q1, | ||
105 | // q2, 0.5, qmiddle); p->base(qmiddle); | ||
106 | |||
107 | // Compute the matrices | ||
108 | // TODO calls to basisFunctionDerivative could be cached as they do not | ||
109 | // depend on the inputs. | ||
110 |
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132 | p->basisFunctionDerivative(0, 0, coeffs.row(0).transpose()); |
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254 | pinocchio::difference<pinocchio::RnxSOnLieGroupMap>(device_.lock(), q1, |
112 |
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256 | p->base(), rhs.row(0)); |
113 |
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316 | for (std::size_t i = 0; i < order1.size(); ++i) |
114 |
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186 | p->basisFunctionDerivative(order1[i], 0, coeffs.row(i + 1).transpose()); |
115 |
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132 | rhs.middleRows(1, order1.size()).transpose() = derivatives1; |
116 | |||
117 | 124 | size_type row = 1 + order1.size(); | |
118 |
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126 | p->basisFunctionDerivative(0, 1, coeffs.row(row).transpose()); |
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262 | pinocchio::difference<pinocchio::RnxSOnLieGroupMap>(device_.lock(), q2, |
120 |
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260 | p->base(), rhs.row(row)); |
121 | 132 | ++row; | |
122 |
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318 | for (std::size_t i = 0; i < order2.size(); ++i) |
123 |
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186 | p->basisFunctionDerivative(order2[i], 1, coeffs.row(i + row).transpose()); |
124 |
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132 | rhs.middleRows(row, order2.size()).transpose() = derivatives2; |
125 | |||
126 | // Solve the problem | ||
127 | // coeffs * P = rhs | ||
128 | typedef Eigen::JacobiSVD<ConstraintMatrix_t> SVD_t; | ||
129 |
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130 | SVD_t svd(coeffs, Eigen::ComputeFullU | Eigen::ComputeFullV); |
130 |
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130 | p->parameters(svd.solve(rhs)); |
131 | |||
132 | 250 | return p; | |
133 | } | ||
134 | |||
135 | template <int _PB, int _SO> | ||
136 | 42 | Spline<_PB, _SO>::Spline(const ProblemConstPtr_t& problem) | |
137 | 42 | : SteeringMethod(problem), device_(problem->robot()) {} | |
138 | |||
139 | /// Copy constructor | ||
140 | template <int _PB, int _SO> | ||
141 | ✗ | Spline<_PB, _SO>::Spline(const Spline& other) | |
142 | ✗ | : SteeringMethod(other), device_(other.device_) {} | |
143 | |||
144 | // template class Spline<path::CanonicalPolynomeBasis, 1>; // equivalent to | ||
145 | // StraightPath template class Spline<path::CanonicalPolynomeBasis, 2>; template | ||
146 | // class Spline<path::CanonicalPolynomeBasis, 3>; | ||
147 | template class Spline<path::BernsteinBasis, 1>; // equivalent to StraightPath | ||
148 | // template class Spline<path::BernsteinBasis, 2>; | ||
149 | template class Spline<path::BernsteinBasis, 3>; | ||
150 | template class Spline<path::BernsteinBasis, 5>; | ||
151 | template class Spline<path::BernsteinBasis, 7>; | ||
152 | } // namespace steeringMethod | ||
153 | } // namespace core | ||
154 | } // namespace hpp | ||
155 |