You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
e.g. in GPM-solver check whether projector is Null-Matrix, which means pinv * this->jacobian_data_ is Eigen::MatrixXd::Identity which means this->jacobian_data_ is invertable/regular and thus Nullspace is empty thus the projection has not influence on q_dots_out
Add a check for this, print a warning and skip loop over constraints simply setting Eigen::MatrixXd qdots_out = particular_solution
This would help understand why e.g. collisions happen although CA is activated!
e.g. in GPM-solver check whether projector is Null-Matrix, which means
pinv * this->jacobian_data_
isEigen::MatrixXd::Identity
which meansthis->jacobian_data_
is invertable/regular and thus Nullspace is empty thus the projection has not influence onq_dots_out
Add a check for this, print a warning and skip loop over constraints simply setting
Eigen::MatrixXd qdots_out = particular_solution
This would help understand why e.g. collisions happen although CA is activated!
Do this for Stack-of-Task and Task-2nd-Prio, too
@fmessmer FYI
The text was updated successfully, but these errors were encountered: