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Implement algorithm to compute J̇ #40

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diegoferigo opened this issue Jun 30, 2023 · 1 comment · Fixed by #169
Closed

Implement algorithm to compute J̇ #40

diegoferigo opened this issue Jun 30, 2023 · 1 comment · Fixed by #169

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@diegoferigo
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diegoferigo commented Jun 30, 2023

$\dot{J}_{A,B}$ is the derivative of the floating-base jacobian of frames/links.

As a reference, we can start from the computation of $\dot{J} \boldsymbol{\nu}$ as in iDynTree::KinDynComputations::getFrameBiasAcc.

@diegoferigo
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Waiting for the support of computing directly $\dot{J}$, that would enable the computation of $\dot{M}(\mathbf{q})$ and as a consequence $C(\mathbf{q}, \boldsymbol{\nu})$ (#41), I implemented $\dot{J} \boldsymbol{\nu}$ in #127. This should already cover 99% of use cases in the domain of controllers with holonomic constraints.

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