add cartesian selection option

source/RobotAPI/libraries/core/CartesianVelocityController.cpp

@@ -30,11 +30,11 @@
 
 using namespace armarx;
 
-CartesianVelocityController::CartesianVelocityController(const VirtualRobot::RobotNodeSetPtr& rns, const VirtualRobot::RobotNodePtr& tcp)
+CartesianVelocityController::CartesianVelocityController(const VirtualRobot::RobotNodeSetPtr& rns, const VirtualRobot::RobotNodePtr& tcp, const VirtualRobot::JacobiProvider::InverseJacobiMethod invJacMethod)
     : rns(rns)
 {
     //ARMARX_IMPORTANT << VAROUT(rns->getRobot()->getRootNode());
-    ik.reset(new VirtualRobot::DifferentialIK(rns, rns->getRobot()->getRootNode(), VirtualRobot::JacobiProvider::eSVDDamped));
+    ik.reset(new VirtualRobot::DifferentialIK(rns, rns->getRobot()->getRootNode(), invJacMethod));
     this->tcp = tcp ? tcp : rns->getTCP();
 
     this->cartesianMMRegularization = 100;

source/RobotAPI/libraries/core/CartesianVelocityController.h

@@ -39,7 +39,8 @@ namespace armarx
     class CartesianVelocityController
     {
     public:
-        CartesianVelocityController(const VirtualRobot::RobotNodeSetPtr& rns, const VirtualRobot::RobotNodePtr& tcp = nullptr);
+        CartesianVelocityController(const VirtualRobot::RobotNodeSetPtr& rns, const VirtualRobot::RobotNodePtr& tcp = nullptr,
+                                    const VirtualRobot::JacobiProvider::InverseJacobiMethod invJacMethod = VirtualRobot::JacobiProvider::eSVDDamped);
 
         Eigen::VectorXf calculate(const Eigen::VectorXf& cartesianVel, float KpJointLimitAvoidanceScale, VirtualRobot::IKSolver::CartesianSelection mode);
         Eigen::VectorXf calculate(const Eigen::VectorXf& cartesianVel, const Eigen::VectorXf& nullspaceVel, VirtualRobot::IKSolver::CartesianSelection mode);