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https://github.com/bulletphysics/bullet3
synced 2024-12-12 21:00:11 +00:00
Remove a temporary global static work matrix in the BussIK, since it conflicts with multithreaded applications.
Instead, let the user pass it in explicitly.
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83bdef8254
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@ -100,7 +100,7 @@ void DoUpdateStep(double Tstep, Tree& treeY, Jacobian* jacob, int ikMethod)
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jacob->SetJendActive();
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}
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jacob->ComputeJacobian(targetaa); // Set up Jacobian and deltaS vectors
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MatrixRmn AugMat;
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// Calculate the change in theta values
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switch (ikMethod)
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{
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@ -108,7 +108,7 @@ void DoUpdateStep(double Tstep, Tree& treeY, Jacobian* jacob, int ikMethod)
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jacob->CalcDeltaThetasTranspose(); // Jacobian transpose method
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break;
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case IK_DLS:
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jacob->CalcDeltaThetasDLS(); // Damped least squares method
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jacob->CalcDeltaThetasDLS(AugMat); // Damped least squares method
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break;
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case IK_DLS_SVD:
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jacob->CalcDeltaThetasDLSwithSVD();
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@ -44,6 +44,7 @@ bool IKTrajectoryHelper::computeIK(const double endEffectorTargetPosition[3],
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const double* q_current, int numQ, int endEffectorIndex,
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double* q_new, int ikMethod, const double* linear_jacobian, const double* angular_jacobian, int jacobian_size, const double dampIk[6])
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{
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MatrixRmn AugMat;
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bool useAngularPart = (ikMethod == IK2_VEL_DLS_WITH_ORIENTATION || ikMethod == IK2_VEL_DLS_WITH_ORIENTATION_NULLSPACE || ikMethod == IK2_VEL_SDLS_WITH_ORIENTATION) ? true : false;
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Jacobian ikJacobian(useAngularPart, numQ, 1);
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@ -142,12 +143,12 @@ bool IKTrajectoryHelper::computeIK(const double endEffectorTargetPosition[3],
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case IK2_VEL_DLS:
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//ikJacobian.CalcDeltaThetasDLS(); // Damped least squares method
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assert(m_data->m_dampingCoeff.GetLength() == numQ);
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ikJacobian.CalcDeltaThetasDLS2(m_data->m_dampingCoeff);
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ikJacobian.CalcDeltaThetasDLS2(m_data->m_dampingCoeff, AugMat);
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break;
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case IK2_VEL_DLS_WITH_NULLSPACE:
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case IK2_VEL_DLS_WITH_ORIENTATION_NULLSPACE:
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assert(m_data->m_nullSpaceVelocity.GetLength() == numQ);
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ikJacobian.CalcDeltaThetasDLSwithNullspace(m_data->m_nullSpaceVelocity);
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ikJacobian.CalcDeltaThetasDLSwithNullspace(m_data->m_nullSpaceVelocity, AugMat);
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break;
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case IK2_DLS_SVD:
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ikJacobian.CalcDeltaThetasDLSwithSVD();
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@ -193,6 +194,7 @@ bool IKTrajectoryHelper::computeIK2(
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const double* q_current, int numQ,
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double* q_new, int ikMethod, const double* linear_jacobians, const double dampIk[6])
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{
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MatrixRmn AugMat;
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bool useAngularPart = false;//for now (ikMethod == IK2_VEL_DLS_WITH_ORIENTATION || ikMethod == IK2_VEL_DLS_WITH_ORIENTATION_NULLSPACE || ikMethod == IK2_VEL_SDLS_WITH_ORIENTATION) ? true : false;
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Jacobian ikJacobian(useAngularPart, numQ, numEndEffectors);
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@ -250,12 +252,12 @@ bool IKTrajectoryHelper::computeIK2(
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case IK2_VEL_DLS:
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//ikJacobian.CalcDeltaThetasDLS(); // Damped least squares method
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assert(m_data->m_dampingCoeff.GetLength() == numQ);
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ikJacobian.CalcDeltaThetasDLS2(m_data->m_dampingCoeff);
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ikJacobian.CalcDeltaThetasDLS2(m_data->m_dampingCoeff, AugMat);
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break;
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case IK2_VEL_DLS_WITH_NULLSPACE:
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case IK2_VEL_DLS_WITH_ORIENTATION_NULLSPACE:
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assert(m_data->m_nullSpaceVelocity.GetLength() == numQ);
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ikJacobian.CalcDeltaThetasDLSwithNullspace(m_data->m_nullSpaceVelocity);
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ikJacobian.CalcDeltaThetasDLSwithNullspace(m_data->m_nullSpaceVelocity, AugMat);
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break;
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case IK2_DLS_SVD:
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ikJacobian.CalcDeltaThetasDLSwithSVD();
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@ -243,7 +243,7 @@ void Jacobian::UpdateThetaDot()
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m_tree->Compute();
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}
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void Jacobian::CalcDeltaThetas()
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void Jacobian::CalcDeltaThetas(MatrixRmn& AugMat)
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{
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switch (CurrentUpdateMode)
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{
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@ -257,7 +257,7 @@ void Jacobian::CalcDeltaThetas()
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CalcDeltaThetasPseudoinverse();
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break;
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case JACOB_DLS:
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CalcDeltaThetasDLS();
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CalcDeltaThetasDLS(AugMat);
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break;
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case JACOB_SDLS:
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CalcDeltaThetasSDLS();
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@ -327,7 +327,7 @@ void Jacobian::CalcDeltaThetasPseudoinverse()
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}
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}
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void Jacobian::CalcDeltaThetasDLSwithNullspace(const VectorRn& desiredV)
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void Jacobian::CalcDeltaThetasDLSwithNullspace(const VectorRn& desiredV, MatrixRmn& AugMat)
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{
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const MatrixRmn& J = ActiveJacobian();
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@ -341,7 +341,7 @@ void Jacobian::CalcDeltaThetasDLSwithNullspace(const VectorRn& desiredV)
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// J.MultiplyTranspose( dTextra, dTheta );
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// Use these two lines for the traditional DLS method
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U.Solve(dS, &dT1);
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U.Solve(dS, &dT1, AugMat);
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J.MultiplyTranspose(dT1, dTheta);
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// Compute JInv in damped least square form
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@ -379,7 +379,7 @@ void Jacobian::CalcDeltaThetasDLSwithNullspace(const VectorRn& desiredV)
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}
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}
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void Jacobian::CalcDeltaThetasDLS()
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void Jacobian::CalcDeltaThetasDLS(MatrixRmn& AugMat)
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{
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const MatrixRmn& J = ActiveJacobian();
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@ -393,7 +393,7 @@ void Jacobian::CalcDeltaThetasDLS()
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// J.MultiplyTranspose( dTextra, dTheta );
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// Use these two lines for the traditional DLS method
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U.Solve(dS, &dT1);
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U.Solve(dS, &dT1, AugMat);
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J.MultiplyTranspose(dT1, dTheta);
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// Scale back to not exceed maximum angle changes
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@ -404,7 +404,7 @@ void Jacobian::CalcDeltaThetasDLS()
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}
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}
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void Jacobian::CalcDeltaThetasDLS2(const VectorRn& dVec)
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void Jacobian::CalcDeltaThetasDLS2(const VectorRn& dVec, MatrixRmn& AugMat)
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{
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const MatrixRmn& J = ActiveJacobian();
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@ -414,7 +414,7 @@ void Jacobian::CalcDeltaThetasDLS2(const VectorRn& dVec)
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dT1.SetLength(J.GetNumColumns());
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J.MultiplyTranspose(dS, dT1);
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U.Solve(dT1, &dTheta);
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U.Solve(dT1, &dTheta, AugMat);
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// Scale back to not exceed maximum angle changes
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double maxChange = dTheta.MaxAbs();
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@ -66,15 +66,15 @@ public:
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void SetJendTrans(MatrixRmn& J);
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void SetDeltaS(VectorRn& S);
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void CalcDeltaThetas(); // Use this only if the Current Mode has been set.
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void CalcDeltaThetas(MatrixRmn& AugMat); // Use this only if the Current Mode has been set.
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void ZeroDeltaThetas();
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void CalcDeltaThetasTranspose();
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void CalcDeltaThetasPseudoinverse();
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void CalcDeltaThetasDLS();
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void CalcDeltaThetasDLS2(const VectorRn& dVec);
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void CalcDeltaThetasDLS(MatrixRmn& AugMat);
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void CalcDeltaThetasDLS2(const VectorRn& dVec, MatrixRmn& AugMat);
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void CalcDeltaThetasDLSwithSVD();
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void CalcDeltaThetasSDLS();
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void CalcDeltaThetasDLSwithNullspace(const VectorRn& desiredV);
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void CalcDeltaThetasDLSwithNullspace(const VectorRn& desiredV, MatrixRmn& AugMat);
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void UpdateThetas();
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void UpdateThetaDot();
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@ -30,7 +30,6 @@ subject to the following restrictions:
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#include "MatrixRmn.h"
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MatrixRmn MatrixRmn::WorkMatrix; // Temporary work matrix
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// Fill the diagonal entries with the value d. The rest of the matrix is unchanged.
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void MatrixRmn::SetDiagonalEntries(double d)
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@ -354,12 +353,14 @@ MatrixRmn& MatrixRmn::MultiplyTranspose(const MatrixRmn& A, const MatrixRmn& B,
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// Solves the equation (*this)*xVec = b;
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// Uses row operations. Assumes *this is square and invertible.
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// No error checking for divide by zero or instability (except with asserts)
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void MatrixRmn::Solve(const VectorRn& b, VectorRn* xVec) const
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void MatrixRmn::Solve(const VectorRn& b, VectorRn* xVec, MatrixRmn& AugMat) const
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{
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B3_PROFILE("MatrixRmn::Solve");
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assert(NumRows == NumCols && NumCols == xVec->GetLength() && NumRows == b.GetLength());
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// Copy this matrix and b into an Augmented Matrix
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MatrixRmn& AugMat = GetWorkMatrix(NumRows, NumCols + 1);
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AugMat.SetSize(NumRows, NumCols + 1);
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AugMat.LoadAsSubmatrix(*this);
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AugMat.SetColumn(NumRows, b);
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@ -117,7 +117,7 @@ public:
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MatrixRmn& AddToDiagonal(const VectorRn& dVec);
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// Solving systems of linear equations
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void Solve(const VectorRn& b, VectorRn* x) const; // Solves the equation (*this)*x = b; Uses row operations. Assumes *this is invertible.
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void Solve(const VectorRn& b, VectorRn* x, MatrixRmn& AugMat) const; // Solves the equation (*this)*x = b; Uses row operations. Assumes *this is invertible.
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// Row Echelon Form and Reduced Row Echelon Form routines
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// Row echelon form here allows non-negative entries (instead of 1's) in the positions of lead variables.
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@ -150,13 +150,6 @@ private:
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double* x; // Array of vector entries - stored in column order
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long AllocSize; // Allocated size of the x array
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static MatrixRmn WorkMatrix; // Temporary work matrix
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static MatrixRmn& GetWorkMatrix() { return WorkMatrix; }
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static MatrixRmn& GetWorkMatrix(long numRows, long numCols)
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{
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WorkMatrix.SetSize(numRows, numCols);
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return WorkMatrix;
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}
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// Internal helper routines for SVD calculations
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static void CalcBidiagonal(MatrixRmn& U, MatrixRmn& V, VectorRn& w, VectorRn& superDiag);
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