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[AMR] Many learnings from exercises
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@@ -9,9 +9,9 @@ $ \begin{bmatrix}
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\end{bmatrix}$\\
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}
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Workspace $W$: $\theta_1, \theta_2 \in [-\pi, \pi]$.
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Similar for $n$R sys (more angles, more lengths).
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For 2D move in 3D space, last dim is sum of angles (or equiv).
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The Jacobian of this $nD$ position is typically computed ($nD$ pos is a vec).
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\bi{Computation} Similar for $n$R sys (more angles, more lengths).
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Last dim is typically sum of angles (or equiv).
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\bi{For velocity kinematics}: Comp. Jacobian of this $nD$ position ($nD$ pos is vec). ${_W}\vec{t}_{WE} \mat{J}(\vec{\theta}) \cdot \vec{\dot{\theta}}$
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\bi{Jacobian}: see \ref{sec:ms-lin}.
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\shortdefinition[Singularity] Loss of deg of Freedom $\det(\mat{J}(\vec{\theta})) = 0$
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