Exemplo n.º 1
0
        private void JTIterate()
        {
            var jacobian    = ComputeJacobian();
            var jacobianMat = CreateMatrix.Dense(2, jacobian.Count, (row, col) => row == 0 ? jacobian[col].X : jacobian[col].Y);
            var deltaE      = SafeDeltaE(goal, baseJoint.EndEffector);

            var deltaEVec = CreateVector.Dense(new float[] { deltaE.X, deltaE.Y });
            var denom     = (jacobianMat * jacobianMat.Transpose() * deltaEVec).L2Norm();

            var lambda = (deltaEVec * jacobianMat * jacobianMat.Transpose() * deltaEVec) / (denom * denom);

            var deltaPhiVec = (float)lambda * jacobianMat.Transpose() * deltaEVec;
            var deltaPhi    = new LinkedList <float>(deltaPhiVec.ToArray());

            baseJoint.ApplyDofDeltas(deltaPhi);
        }
        public void IterateDLS(Hinge joint, Vector2 goal)
        {
            var jacobian = ComputeJacobian(joint);
            var deltaE   = ClampDeltaE(goal, joint.EndEffector);

            var jacobianMat = CreateMatrix.Dense(2, jacobian.Count, (row, col) => row == 0 ? jacobian[col].X : jacobian[col].Y);

            var lambda       = DLSLambda;
            var lambdaMatrix = lambda * lambda * CreateMatrix.DenseIdentity <float>(jacobianMat.RowCount);
            var deltaPhiVec  =
                jacobianMat.Transpose() *
                (jacobianMat * jacobianMat.Transpose() + (lambdaMatrix)).Inverse() *
                CreateVector.DenseOfArray(new float[] { deltaE.X, deltaE.Y });
            var deltaPhi = new LinkedList <float>(deltaPhiVec.ToArray());

            joint.ApplyDofDeltas(deltaPhi);
        }
        public void IterateJI(Hinge joint, Vector2 goal)
        {
            var jacobian = ComputeJacobian(joint);
            var deltaE   = ClampDeltaE(goal, joint.EndEffector);

            var jacobianMat = CreateMatrix.Dense(2, jacobian.Count, (row, col) => row == 0 ? jacobian[col].X : jacobian[col].Y);

            var inverse  = jacobianMat.GeneralizedInverse();
            var pInverse = jacobianMat.SVDPseudoInverse();

            var deltaPhi = new LinkedList <float>();

            foreach (var row in pInverse.ToRowArrays())
            {
                deltaPhi.AddLast((deltaE.X * row[0]) + (deltaE.Y * row[1]));
            }

            joint.ApplyDofDeltas(deltaPhi);
        }
        public void IterateJT(Hinge joint, Vector2 goal)
        {
            var jacobian    = ComputeJacobian(joint);
            var jacobianMat = CreateMatrix.Dense(2, jacobian.Count, (row, col) => row == 0 ? jacobian[col].X : jacobian[col].Y);
            var deltaE      = ClampDeltaE(goal, joint.EndEffector);

            if (deltaE.LengthSquared() < 0.0001)
            {
                return;
            }

            var deltaEVec = CreateVector.Dense(new float[] { deltaE.X, deltaE.Y });
            var denom     = (jacobianMat * jacobianMat.Transpose() * deltaEVec).L2Norm();

            var lambda = (deltaEVec * jacobianMat * jacobianMat.Transpose() * deltaEVec) / (denom * denom);

            var deltaPhiVec = (float)lambda * jacobianMat.Transpose() * deltaEVec;
            var deltaPhi    = new LinkedList <float>(deltaPhiVec.ToArray());

            joint.ApplyDofDeltas(deltaPhi);
        }