Jacobian matrix and determinant - Wikipedia
https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinantIn vector calculus, the Jacobian matrix of a vector-valued function of several variables is the matrix of all its first-order partial derivatives. When this matrix is square, that is, when the function takes the same number of variables as input as the number of vector components of its output, its determinant is referred to as the Jacobian determinant. Both the matrix and (if applicable) the determinant are often referred to simply as the Jacobian in literature.
derivative of jacobian | The Orocos Project
https://orocos.org/node/82908.09.2008 · There are two relevant Jacobian derivates: one with respect with time, the other with respect to a change in a joint or end-effector pose. Neither of them have already been implemented, but I can point you to references if you need them. What is the exact goal of the derivative? Because most often, using
derivative of jacobian | The Orocos Project
orocos.org › node › 829Sep 08, 2008 · Nothing fancy or new, in this respect. I found out only after writing that paper that the derivative of the. Jacobian with respect to a joint angle is nothing else but the Lie. derivative: the derivative of one vector field (generated by one joint. motion) along another vector field (generated by another joint).