438 lines
12 KiB
C++
438 lines
12 KiB
C++
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#include "IDMath.hpp"
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#include <cmath>
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#include <limits>
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namespace btInverseDynamics {
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static const idScalar kIsZero = 5 * std::numeric_limits<idScalar>::epsilon();
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// requirements for axis length deviation from 1.0
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// experimentally set from random euler angle rotation matrices
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static const idScalar kAxisLengthEpsilon = 10 * kIsZero;
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void setZero(vec3 &v) {
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v(0) = 0;
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v(1) = 0;
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v(2) = 0;
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}
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void setZero(vecx &v) {
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for (int i = 0; i < v.size(); i++) {
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v(i) = 0;
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}
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}
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void setZero(mat33 &m) {
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m(0, 0) = 0;
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m(0, 1) = 0;
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m(0, 2) = 0;
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m(1, 0) = 0;
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m(1, 1) = 0;
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m(1, 2) = 0;
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m(2, 0) = 0;
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m(2, 1) = 0;
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m(2, 2) = 0;
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}
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void skew(vec3& v, mat33* result) {
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(*result)(0, 0) = 0.0;
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(*result)(0, 1) = -v(2);
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(*result)(0, 2) = v(1);
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(*result)(1, 0) = v(2);
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(*result)(1, 1) = 0.0;
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(*result)(1, 2) = -v(0);
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(*result)(2, 0) = -v(1);
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(*result)(2, 1) = v(0);
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(*result)(2, 2) = 0.0;
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}
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idScalar maxAbs(const vecx &v) {
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idScalar result = 0.0;
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for (int i = 0; i < v.size(); i++) {
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const idScalar tmp = BT_ID_FABS(v(i));
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if (tmp > result) {
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result = tmp;
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}
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}
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return result;
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}
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idScalar maxAbs(const vec3 &v) {
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idScalar result = 0.0;
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for (int i = 0; i < 3; i++) {
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const idScalar tmp = BT_ID_FABS(v(i));
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if (tmp > result) {
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result = tmp;
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}
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}
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return result;
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}
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#if (defined BT_ID_HAVE_MAT3X)
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idScalar maxAbsMat3x(const mat3x &m) {
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// only used for tests -- so just loop here for portability
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idScalar result = 0.0;
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for (idArrayIdx col = 0; col < m.cols(); col++) {
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for (idArrayIdx row = 0; row < 3; row++) {
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result = BT_ID_MAX(result, std::fabs(m(row, col)));
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}
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}
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return result;
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}
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void mul(const mat33 &a, const mat3x &b, mat3x *result) {
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if (b.cols() != result->cols()) {
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error_message("size missmatch. b.cols()= %d, result->cols()= %d\n",
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static_cast<int>(b.cols()), static_cast<int>(result->cols()));
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abort();
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}
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for (idArrayIdx col = 0; col < b.cols(); col++) {
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const idScalar x = a(0,0)*b(0,col)+a(0,1)*b(1,col)+a(0,2)*b(2,col);
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const idScalar y = a(1,0)*b(0,col)+a(1,1)*b(1,col)+a(1,2)*b(2,col);
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const idScalar z = a(2,0)*b(0,col)+a(2,1)*b(1,col)+a(2,2)*b(2,col);
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setMat3xElem(0, col, x, result);
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setMat3xElem(1, col, y, result);
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setMat3xElem(2, col, z, result);
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}
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}
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void add(const mat3x &a, const mat3x &b, mat3x *result) {
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if (a.cols() != b.cols()) {
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error_message("size missmatch. a.cols()= %d, b.cols()= %d\n",
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static_cast<int>(a.cols()), static_cast<int>(b.cols()));
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abort();
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}
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for (idArrayIdx col = 0; col < b.cols(); col++) {
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for (idArrayIdx row = 0; row < 3; row++) {
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setMat3xElem(row, col, a(row, col) + b(row, col), result);
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}
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}
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}
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void sub(const mat3x &a, const mat3x &b, mat3x *result) {
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if (a.cols() != b.cols()) {
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error_message("size missmatch. a.cols()= %d, b.cols()= %d\n",
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static_cast<int>(a.cols()), static_cast<int>(b.cols()));
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abort();
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}
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for (idArrayIdx col = 0; col < b.cols(); col++) {
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for (idArrayIdx row = 0; row < 3; row++) {
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setMat3xElem(row, col, a(row, col) - b(row, col), result);
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}
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}
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}
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#endif
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mat33 transformX(const idScalar &alpha) {
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mat33 T;
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const idScalar cos_alpha = BT_ID_COS(alpha);
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const idScalar sin_alpha = BT_ID_SIN(alpha);
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// [1 0 0]
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// [0 c s]
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// [0 -s c]
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T(0, 0) = 1.0;
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T(0, 1) = 0.0;
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T(0, 2) = 0.0;
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T(1, 0) = 0.0;
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T(1, 1) = cos_alpha;
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T(1, 2) = sin_alpha;
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T(2, 0) = 0.0;
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T(2, 1) = -sin_alpha;
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T(2, 2) = cos_alpha;
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return T;
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}
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mat33 transformY(const idScalar &beta) {
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mat33 T;
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const idScalar cos_beta = BT_ID_COS(beta);
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const idScalar sin_beta = BT_ID_SIN(beta);
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// [c 0 -s]
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// [0 1 0]
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// [s 0 c]
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T(0, 0) = cos_beta;
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T(0, 1) = 0.0;
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T(0, 2) = -sin_beta;
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T(1, 0) = 0.0;
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T(1, 1) = 1.0;
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T(1, 2) = 0.0;
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T(2, 0) = sin_beta;
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T(2, 1) = 0.0;
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T(2, 2) = cos_beta;
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return T;
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}
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mat33 transformZ(const idScalar &gamma) {
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mat33 T;
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const idScalar cos_gamma = BT_ID_COS(gamma);
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const idScalar sin_gamma = BT_ID_SIN(gamma);
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// [ c s 0]
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// [-s c 0]
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// [ 0 0 1]
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T(0, 0) = cos_gamma;
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T(0, 1) = sin_gamma;
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T(0, 2) = 0.0;
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T(1, 0) = -sin_gamma;
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T(1, 1) = cos_gamma;
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T(1, 2) = 0.0;
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T(2, 0) = 0.0;
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T(2, 1) = 0.0;
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T(2, 2) = 1.0;
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return T;
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}
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mat33 tildeOperator(const vec3 &v) {
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mat33 m;
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m(0, 0) = 0.0;
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m(0, 1) = -v(2);
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m(0, 2) = v(1);
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m(1, 0) = v(2);
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m(1, 1) = 0.0;
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m(1, 2) = -v(0);
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m(2, 0) = -v(1);
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m(2, 1) = v(0);
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m(2, 2) = 0.0;
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return m;
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}
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void getVecMatFromDH(idScalar theta, idScalar d, idScalar a, idScalar alpha, vec3 *r, mat33 *T) {
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const idScalar sa = BT_ID_SIN(alpha);
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const idScalar ca = BT_ID_COS(alpha);
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const idScalar st = BT_ID_SIN(theta);
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const idScalar ct = BT_ID_COS(theta);
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(*r)(0) = a;
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(*r)(1) = -sa * d;
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(*r)(2) = ca * d;
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(*T)(0, 0) = ct;
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(*T)(0, 1) = -st;
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(*T)(0, 2) = 0.0;
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(*T)(1, 0) = st * ca;
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(*T)(1, 1) = ct * ca;
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(*T)(1, 2) = -sa;
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(*T)(2, 0) = st * sa;
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(*T)(2, 1) = ct * sa;
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(*T)(2, 2) = ca;
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}
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void bodyTParentFromAxisAngle(const vec3 &axis, const idScalar &angle, mat33 *T) {
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const idScalar c = BT_ID_COS(angle);
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const idScalar s = -BT_ID_SIN(angle);
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const idScalar one_m_c = 1.0 - c;
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const idScalar &x = axis(0);
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const idScalar &y = axis(1);
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const idScalar &z = axis(2);
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(*T)(0, 0) = x * x * one_m_c + c;
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(*T)(0, 1) = x * y * one_m_c - z * s;
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(*T)(0, 2) = x * z * one_m_c + y * s;
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(*T)(1, 0) = x * y * one_m_c + z * s;
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(*T)(1, 1) = y * y * one_m_c + c;
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(*T)(1, 2) = y * z * one_m_c - x * s;
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(*T)(2, 0) = x * z * one_m_c - y * s;
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(*T)(2, 1) = y * z * one_m_c + x * s;
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(*T)(2, 2) = z * z * one_m_c + c;
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}
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bool isPositiveDefinite(const mat33 &m) {
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// test if all upper left determinants are positive
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if (m(0, 0) <= 0) { // upper 1x1
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return false;
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}
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if (m(0, 0) * m(1, 1) - m(0, 1) * m(1, 0) <= 0) { // upper 2x2
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return false;
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}
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if ((m(0, 0) * (m(1, 1) * m(2, 2) - m(1, 2) * m(2, 1)) -
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m(0, 1) * (m(1, 0) * m(2, 2) - m(1, 2) * m(2, 0)) +
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m(0, 2) * (m(1, 0) * m(2, 1) - m(1, 1) * m(2, 0))) < 0) {
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return false;
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}
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return true;
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}
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bool isPositiveSemiDefinite(const mat33 &m) {
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// test if all upper left determinants are positive
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if (m(0, 0) < 0) { // upper 1x1
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return false;
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}
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if (m(0, 0) * m(1, 1) - m(0, 1) * m(1, 0) < 0) { // upper 2x2
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return false;
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}
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if ((m(0, 0) * (m(1, 1) * m(2, 2) - m(1, 2) * m(2, 1)) -
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m(0, 1) * (m(1, 0) * m(2, 2) - m(1, 2) * m(2, 0)) +
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m(0, 2) * (m(1, 0) * m(2, 1) - m(1, 1) * m(2, 0))) < 0) {
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return false;
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}
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return true;
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}
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bool isPositiveSemiDefiniteFuzzy(const mat33 &m) {
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// test if all upper left determinants are positive
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if (m(0, 0) < -kIsZero) { // upper 1x1
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return false;
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}
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if (m(0, 0) * m(1, 1) - m(0, 1) * m(1, 0) < -kIsZero) { // upper 2x2
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return false;
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}
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if ((m(0, 0) * (m(1, 1) * m(2, 2) - m(1, 2) * m(2, 1)) -
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m(0, 1) * (m(1, 0) * m(2, 2) - m(1, 2) * m(2, 0)) +
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m(0, 2) * (m(1, 0) * m(2, 1) - m(1, 1) * m(2, 0))) < -kIsZero) {
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return false;
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}
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return true;
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}
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idScalar determinant(const mat33 &m) {
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return m(0, 0) * m(1, 1) * m(2, 2) + m(0, 1) * m(1, 2) * m(2, 0) + m(0, 2) * m(1, 0) * m(2, 1) -
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m(0, 2) * m(1, 1) * m(2, 0) - m(0, 0) * m(1, 2) * m(2, 1) - m(0, 1) * m(1, 0) * m(2, 2);
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}
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bool isValidInertiaMatrix(const mat33 &I, const int index, bool has_fixed_joint) {
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// TODO(Thomas) do we really want this?
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// in cases where the inertia tensor about the center of mass is zero,
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// the determinant of the inertia tensor about the joint axis is almost
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// zero and can have a very small negative value.
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if (!isPositiveSemiDefiniteFuzzy(I)) {
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error_message("invalid inertia matrix for body %d, not positive definite "
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"(fixed joint)\n",
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index);
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error_message("matrix is:\n"
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"[%.20e %.20e %.20e;\n"
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"%.20e %.20e %.20e;\n"
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"%.20e %.20e %.20e]\n",
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I(0, 0), I(0, 1), I(0, 2), I(1, 0), I(1, 1), I(1, 2), I(2, 0), I(2, 1),
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I(2, 2));
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return false;
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}
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// check triangle inequality, must have I(i,i)+I(j,j)>=I(k,k)
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if (!has_fixed_joint) {
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if (I(0, 0) + I(1, 1) < I(2, 2)) {
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error_message("invalid inertia tensor for body %d, I(0,0) + I(1,1) < I(2,2)\n", index);
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error_message("matrix is:\n"
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"[%.20e %.20e %.20e;\n"
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"%.20e %.20e %.20e;\n"
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"%.20e %.20e %.20e]\n",
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I(0, 0), I(0, 1), I(0, 2), I(1, 0), I(1, 1), I(1, 2), I(2, 0), I(2, 1),
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I(2, 2));
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return false;
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}
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if (I(0, 0) + I(1, 1) < I(2, 2)) {
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error_message("invalid inertia tensor for body %d, I(0,0) + I(1,1) < I(2,2)\n", index);
|
||
|
|
error_message("matrix is:\n"
|
||
|
|
"[%.20e %.20e %.20e;\n"
|
||
|
|
"%.20e %.20e %.20e;\n"
|
||
|
|
"%.20e %.20e %.20e]\n",
|
||
|
|
I(0, 0), I(0, 1), I(0, 2), I(1, 0), I(1, 1), I(1, 2), I(2, 0), I(2, 1),
|
||
|
|
I(2, 2));
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
if (I(1, 1) + I(2, 2) < I(0, 0)) {
|
||
|
|
error_message("invalid inertia tensor for body %d, I(1,1) + I(2,2) < I(0,0)\n", index);
|
||
|
|
error_message("matrix is:\n"
|
||
|
|
"[%.20e %.20e %.20e;\n"
|
||
|
|
"%.20e %.20e %.20e;\n"
|
||
|
|
"%.20e %.20e %.20e]\n",
|
||
|
|
I(0, 0), I(0, 1), I(0, 2), I(1, 0), I(1, 1), I(1, 2), I(2, 0), I(2, 1),
|
||
|
|
I(2, 2));
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
// check positive/zero diagonal elements
|
||
|
|
for (int i = 0; i < 3; i++) {
|
||
|
|
if (I(i, i) < 0) { // accept zero
|
||
|
|
error_message("invalid inertia tensor, I(%d,%d)= %e <0\n", i, i, I(i, i));
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
// check symmetry
|
||
|
|
if (BT_ID_FABS(I(1, 0) - I(0, 1)) > kIsZero) {
|
||
|
|
error_message("invalid inertia tensor for body %d I(1,0)!=I(0,1). I(1,0)-I(0,1)= "
|
||
|
|
"%e\n",
|
||
|
|
index, I(1, 0) - I(0, 1));
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
if (BT_ID_FABS(I(2, 0) - I(0, 2)) > kIsZero) {
|
||
|
|
error_message("invalid inertia tensor for body %d I(2,0)!=I(0,2). I(2,0)-I(0,2)= "
|
||
|
|
"%e\n",
|
||
|
|
index, I(2, 0) - I(0, 2));
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
if (BT_ID_FABS(I(1, 2) - I(2, 1)) > kIsZero) {
|
||
|
|
error_message("invalid inertia tensor body %d I(1,2)!=I(2,1). I(1,2)-I(2,1)= %e\n", index,
|
||
|
|
I(1, 2) - I(2, 1));
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
|
||
|
|
bool isValidTransformMatrix(const mat33 &m) {
|
||
|
|
#define print_mat(x) \
|
||
|
|
error_message("matrix is [%e, %e, %e; %e, %e, %e; %e, %e, %e]\n", x(0, 0), x(0, 1), x(0, 2), \
|
||
|
|
x(1, 0), x(1, 1), x(1, 2), x(2, 0), x(2, 1), x(2, 2))
|
||
|
|
|
||
|
|
// check for unit length column vectors
|
||
|
|
for (int i = 0; i < 3; i++) {
|
||
|
|
const idScalar length_minus_1 =
|
||
|
|
BT_ID_FABS(m(0, i) * m(0, i) + m(1, i) * m(1, i) + m(2, i) * m(2, i) - 1.0);
|
||
|
|
if (length_minus_1 > kAxisLengthEpsilon) {
|
||
|
|
error_message("Not a valid rotation matrix (column %d not unit length)\n"
|
||
|
|
"column = [%.18e %.18e %.18e]\n"
|
||
|
|
"length-1.0= %.18e\n",
|
||
|
|
i, m(0, i), m(1, i), m(2, i), length_minus_1);
|
||
|
|
print_mat(m);
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
// check for orthogonal column vectors
|
||
|
|
if (BT_ID_FABS(m(0, 0) * m(0, 1) + m(1, 0) * m(1, 1) + m(2, 0) * m(2, 1)) > kAxisLengthEpsilon) {
|
||
|
|
error_message("Not a valid rotation matrix (columns 0 and 1 not orthogonal)\n");
|
||
|
|
print_mat(m);
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
if (BT_ID_FABS(m(0, 0) * m(0, 2) + m(1, 0) * m(1, 2) + m(2, 0) * m(2, 2)) > kAxisLengthEpsilon) {
|
||
|
|
error_message("Not a valid rotation matrix (columns 0 and 2 not orthogonal)\n");
|
||
|
|
print_mat(m);
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
if (BT_ID_FABS(m(0, 1) * m(0, 2) + m(1, 1) * m(1, 2) + m(2, 1) * m(2, 2)) > kAxisLengthEpsilon) {
|
||
|
|
error_message("Not a valid rotation matrix (columns 0 and 2 not orthogonal)\n");
|
||
|
|
print_mat(m);
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
// check determinant (rotation not reflection)
|
||
|
|
if (determinant(m) <= 0) {
|
||
|
|
error_message("Not a valid rotation matrix (determinant <=0)\n");
|
||
|
|
print_mat(m);
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
|
||
|
|
bool isUnitVector(const vec3 &vector) {
|
||
|
|
return BT_ID_FABS(vector(0) * vector(0) + vector(1) * vector(1) + vector(2) * vector(2) - 1.0) <
|
||
|
|
kIsZero;
|
||
|
|
}
|
||
|
|
|
||
|
|
vec3 rpyFromMatrix(const mat33 &rot) {
|
||
|
|
vec3 rpy;
|
||
|
|
rpy(2) = BT_ID_ATAN2(-rot(1, 0), rot(0, 0));
|
||
|
|
rpy(1) = BT_ID_ATAN2(rot(2, 0), BT_ID_COS(rpy(2)) * rot(0, 0) - BT_ID_SIN(rpy(0)) * rot(1, 0));
|
||
|
|
rpy(0) = BT_ID_ATAN2(-rot(2, 0), rot(2, 2));
|
||
|
|
return rpy;
|
||
|
|
}
|
||
|
|
}
|