[AMR] Many learnings from exercises

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2026-08-03 15:50:56 +02:00
parent d50e6bd547
commit a106331872
21 changed files with 81 additions and 38 deletions
@@ -9,9 +9,9 @@ $ \begin{bmatrix}
\end{bmatrix}$\\
}
Workspace $W$: $\theta_1, \theta_2 \in [-\pi, \pi]$.
Similar for $n$R sys (more angles, more lengths).
For 2D move in 3D space, last dim is sum of angles (or equiv).
The Jacobian of this $nD$ position is typically computed ($nD$ pos is a vec).
\bi{Computation} Similar for $n$R sys (more angles, more lengths).
Last dim is typically sum of angles (or equiv).
\bi{For velocity kinematics}: Comp. Jacobian of this $nD$ position ($nD$ pos is vec). ${_W}\vec{t}_{WE} \mat{J}(\vec{\theta}) \cdot \vec{\dot{\theta}}$
\bi{Jacobian}: see \ref{sec:ms-lin}.
\shortdefinition[Singularity] Loss of deg of Freedom $\det(\mat{J}(\vec{\theta})) = 0$