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Hi, there. Thanks for making this great repo public. I'm using Pinocchio to compute the partial derivatives of the Jacobian matrix with respect to q, a.k.a.
The final output result is |
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The kinematic Jacobian is the variation of a placement entity (position + orientation) with respect to the joint configuration vector. The kinematic Hessian is one order of derivation more and corresponds to I hope this clarifies your issue. |
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The kinematic Jacobian is the variation of a placement entity (position + orientation) with respect to the joint configuration vector.$^0J_i = \frac{\partial ^0M_i(q)}{\partial q}$ . The Jacobian evaluated at a given configuration value $q$ is a matrix of dimension $6 x \text{nv}$ where $\text{nv}$ is the size of the velocity vector (given by
Otherwise said, the kinematic Jacobian is the first-order derivative, reading
model.nv
in Pinocchio), which can also be interpreted as the number of degrees of freedom.The kinematic Hessian is one order of derivation more and corresponds to$^0H_i = \frac{{\partial^{2}} \ {^0M_i}(q)}{\partial q^2}$ .$6 x \text{nv} x \text{nv}$ tensor, wi…
So, it is a