Files
eth-summaries/electives/amr/parts/01_kinematics/01_forward.tex
T

19 lines
862 B
TeX

\subsection{Forward Kinematics (FK)}
$\mat{T}_{WB_n}(\vec{\theta}) = \mat{T}_{WB_0} \mat{T}_{B_0B_1}(\theta_1) \cdots \mat{T}_{B_{n - 1}B_n}(\theta_n)$.
For 2R system: ${_W}\vec{t}_{WE} =$
{\scriptsize
$ \begin{bmatrix}
L_1 \cos(\theta_1) + L_2 \cos(\theta_1 + \theta_2) \\
L_1 \sin(\theta_1) + L_2 \sin(\theta_1 + \theta_2)
\end{bmatrix}$\\
}
Workspace $W$: $\theta_1, \theta_2 \in [-\pi, \pi]$.
\bi{Computation} Similar for $n$R sys (more angles, more lengths).
Last dim is typically sum of angles (or equiv).
\bi{For velocity kinematics}: See \ref{sec:manipulator-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 $\det(\mat{J}(\vec{\theta})) = 0$