[Electives] Restructure

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2026-05-04 11:32:59 +02:00
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\subsection{Positioning}
\shortdefinition[Position Vector]
$_{\color{blue}\fbox{W}}\,\vec{t}\,_{\color{red}\fbox{B}} = \, _{\color{blue}\fbox{W}}\,\vec{t}\,_{\color{ForestGreen}\fbox{W}}\,_{\color{red}\fbox{B}}$,
{\color{blue} Original Frame}, {\color{red} End point}, {\color{ForestGreen} Target Frame},
\hl{$\sin = s$, $\cos = c$}
\shortdefinition[State vector] $x_R$: $x$, $v$ of rob in $W$, pos of sensors
\shortdefinition[Rot. Mat.] $\mat{R}_{z}(\psi) = \begin{bmatrix}
c(\psi) & -s(\psi) & 0 \\
s(\psi) & c(\psi) & 0 \\
0 & 0 & 1
\end{bmatrix}$\\
$\mat{R}_y(\theta) = \begin{bmatrix}
c(\theta) & 0 & s(\theta) \\
0 & 1 & 0 \\
-s(\theta) & 0 & c(\theta) \\
\end{bmatrix};
\mat{R}_x(\varphi)
\begin{bmatrix}
1 & 0 & 0 \\
0 & c(\varphi) & -s(\varphi) \\
0 & s(\varphi) & c(\varphi)
\end{bmatrix}$
\shortremark Application: ${_W} \vec{a} = \mat{R}_{WB} {_B} \vec{a}$
\shortlemma $\mat{R}_{BW} = \mat{R}_{WB}^{-1} = \mat{R}_{WB}^\top$, $\det(\mat{R}_{WB}) = 1$ (orth.)
\shortremark Cols of $\mat{R}_{WB}$ are basis vec. of Frame $\underset{\rightarrow}{\cF}{_B}$ in $\underset{\rightarrow}{\cF}{_W}$
\shortdefinition[Euler Angles] Yaw ($z$), Pitch ($y$), Roll ($x$), mult. rotation matrices, e.g.
$\mat{R}_{EB} = \mat{R}_z(\psi) \cdot \mat{R}_y(\theta) \cdot \mat{R}_x(\varphi)$, \hl{bound.}.
$\qquad [\vec{n}]^\times = \vec{n} \vec{x}^\top$ (matrix from vec + arg $\vec{x}$)
\shortdefinition[Rot. Vec]
$\vec{\alpha} = \alpha \vec{n}$ ($\vec{n}$ normal)\\
$\mat{R}(\alpha, \vec{n}) = \mat{I}_3 + \sin(\alpha)[\vec{n}]^\times + (1 - \cos(\alpha))([\vec{n}]^\times)^2$
\shortdefinition[Quaternions] $q = q_w + q_x i + q_y j + q_z k$ with\\
$i^2 = j^2 = k^2 = -1$, ($ij = -ji = k$, same for $jk$ and $ki$)
% TODO: Finish this
\shortdefinition[Transf. M] $\mat{T}_{AB} = \begin{bmatrix}
\mat{R}_{AB} & {_A}\vec{t}_B \\
\mat{0}_{1\times 3} & 1
\end{bmatrix}$\\
$\mat{T}_{BA} = \mat{T}_{AB}^{-1} =
\begin{bmatrix}
\mat{R}_{AB}^\top & -\mat{R}_{AB}^\top {_A}\vec{t}_B \\
\mat{0}_{1 \times 3} & 1
\end{bmatrix}$
$\mat{T}_{AC} = \mat{T}_{AB} \mat{T}_{BC}$
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\subsection{Forward Kinematics (FK)}
$T_{WB_n}(\theta) = \mat{T}_{WB_0} \mat{T}_{B_0B_1}(\theta_1) \cdots \mat{T}_{B_{n - 1}B_n}(\theta_n)$.\\
For 2R system: ${_W}\vec{t}_{WE} = \begin{bmatrix}
L_1 \cos(\theta_1) + L_2 \cos(\theta_1 + \theta_2)\\
L_1 \sin(\theta_1) + L_2 \sin(\theta_1 + \theta_2)
\end{bmatrix}$\\
With workspace (pos) $W$ for $\theta_1, \theta_2 \in [-\pi, \pi]$
% TODO: Example? (w02s42 possibly)
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\subsection{Inverse Kinematics (IK)}
\begin{wrapfigure}[10]{r}{0.4\columnwidth}
\includegraphics[width=0.4\columnwidth]{assets/inverse-kinematics.png}
\end{wrapfigure}
\bi{Option}: Solve Forward Kinematics for angles.\\
\bi{Better}: Law of cosine with polar coordinates. Compute angle using cosine rule,\\
$\theta_1 = \phi \pm \alpha$, $\theta_2 = \pm(\pi - \beta)$
(Positive for {\color{ForestGreen} Elbow Down}, Negative for {\color{red} Elbow Up})
\bi{Extension to 6R}:
1. Waist: spherical coords (2 sol.)\\
2. 2 sols from 2R for shoulder + elbow\\
3. Solve for wrist joints (no influence on pos)
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\subsection{Temporal Models}
For \bi{Cont-time n.-lin. system of ODE} $\dot{\vec{x}} = \vec{f}_C(\vec{x}(t), \vec{u}(t))$, with measurements $\vec{z}(t) = \vec{h}(\vec{x}(t)) + \vec{v}(t)$.\\
Need linearised (around $\vec{f}_C(\vec{\overline{x}}, \vec{\overline{y}}) = 0$, at \bi{equilibrium}):\\
$\delta \vec{\dot{x}}(t) = \vec{f}_C(\vec{\overline{x}}, \vec{\overline{u}}) + \mat{F}_C \delta \vec{x}(t) + \mat{G}_C \delta \vec{u}(t) + \mat{L}_C \vec{w}(t)$\\
$\delta \vec{z}(t) = \mat{H} \delta \vec{x}(t) + \vec{v}(t)$.
Herein, $\mat{H}$ is measurements, $\mat{F}_C$ system, $\mat{G}$ input gain, $\vec{w}$ process noise, $\vec{v}$ measurement noise, both zero-mean \bi{Gaussian White Noise Process}.
For \bi{n-lin. cont-time system}:
$\vec{\dot{x}}(t) = \vec{f}_C(\vec{x}(t), \vec{u}(t), \vec{w}(t))$\\
$\vec{z}(t) = \vec{h}(\vec{x}(t)) = \vec{v})(t)$,
linearization is the same
To \bi{discretize}, integrate from $t_{k - 1}$ to $t_k$:\\
$\vec{x}_k = \vec{f}(\vec{x}_{k - 1}, \vec{u}_k, \vec{w}_k)$
$\vec{z}_k = \vec{h}(\vec{x}_k) + \vec{v}_k$,
\bi{linearised}:\\
$\delta \vec{x}_k = \vec{f}(\vec{\overline{x}}, \vec{\overline{u}}) + \mat{F} \delta \vec{x}_{k - 1} + \mat{G}_k \delta \vec{u}_k + \mat{L}_k \vec{w}_k$;
$\delta \vec{z}_k = \mat{H}_k \delta \vec{x}_k$
\bi{Trapezoidal num. int}
$\Delta \vec{x}_1 = \Delta t \vec{f}_C (\vec{x}_{k - 1}, \vec{u}_{k - 1}, t_{k - 1})$\\
$\Delta \vec{x}_2 = \Delta t \vec{f}_C (\vec{x}_{k - 1} + \Delta \vec{x}_1, \vec{u}_{k}, t_{k})$, then:\\
$\vec{x}_k = \vec{x}_{k - 1} + 0.5 \cdot (\Delta \vec{x}_1 + \Delta \vec{x}_2)$
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\newpage
\subsection{Rigid body \& IMU kinematics}
\begin{wrapfigure}[5]{r}{0.3\columnwidth}
\includegraphics[width=0.3\columnwidth]{assets/rigid-body-6d.png}
\end{wrapfigure}
\bi{Velocity} ${_I}\vec{v}_{IB} = \diff{t} ({_I}\vec{t}_B)$
\bi{Rot. Velocity} ${_I}\vec{\omega}_{IB} = \diff{t} (\alpha)\; {_I}\vec{t}$
\bi{Velocity point $P$} ${_B}\vec{v}_{IP} = {_B}\vec{v}_{IB} + {_B}\vec{\omega}_{IB} \times {_B}\vec{t}_{P}$
\bi{Rotation Matrices}
\begin{itemize}
\item For left pertubing\\
$\mat{\dot{R}}_{IB} = [{_I} \omega_{IB}]^\times \mat{R}_{IB}$
\item For right pertubing
$\mat{\dot{R}}_{IB} = \mat{R}_{IB} [{_I} \omega_{IB}]^\times$
\item Constant angular velocity ($\exp{[\Delta \alpha]^\times} = \delta \mat{R}(\Delta \alpha)$)\\
$\mat{R}_{IB}(t + \Delta t) = \exp{[\Delta \alpha]^\times} \mat{R}_{IB}(t)$
\end{itemize}
\bi{Quaternions}
\begin{itemize}
\item For left pertubing
$\displaystyle \vec{\dot{q}}_{IB} = \frac{1}{2} \begin{bmatrix}
{_I}\vec{\omega}_{IB} \\
0
\end{bmatrix}
\otimes \vec{q}_{IB}$
\item For right pertubing
$\displaystyle \vec{\dot{q}}_{IB} = \frac{1}{2} \vec{q}_{IB} \otimes \begin{bmatrix}
{_B}\vec{\omega}_{IB} \\
0
\end{bmatrix}$
\end{itemize}
\bi{IMU} (Outputs {\color{blue} ${_S}\vec{\tilde{a}}$} (accel.), {\color{red} ${_S}\vec{\tilde{\omega}}$} (rot. accel.))\\
${_W}\vec{\dot{t}}_S = {_W} \vec{v}$,
$\displaystyle \vec{\dot{q}}_{WS} = \frac{1}{2} \vec{q}_{WS} \otimes
\begin{bmatrix}
{\color{red}{_S}\vec{\tilde{\omega}}} {\color{gray} + \vec{w}_g - \vec{b}_g} \\
0
\end{bmatrix}$
${_W}\vec{\dot{v}} = \mat{R}_{WS}\; ({\color{blue}{_S}\vec{\tilde{a}}} {\color{gray} + \vec{w}_a - \vec{b}_a}) + {_W}\vec{g}$
where {\color{gray} gray parts} only IRL (in theor. models, leave out), with $\vec{\dot{b}}_g = \vec{w}_{b_g}$ and $\vec{\dot{b}}_a = \vec{w}_{b_a}$
\bi{IMU Sensor Model}: $\vec{\tilde{z}} = \vec{b}_C + s\mat{M}\vec{z} + \vec{b} + \vec{n} + \vec{o}$
where bias $\vec{b}$ and scale $s$ often modelled time-varying $\dot{b}(t) = \sigma_C n(t)$.
$\vec{b}_C$ const. calib; $\mat{M}$ Misalignment; $\vec{n}$ noise; $\vec{o}$ other infl.
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\subsection{Rigid Body Dynamics}
\shortdefinition[Newton II] For fin. body w/ mass $m$ and inertia mat. $I$, with force $\vec{F}$ and torque $\vec{T}$ on \bi{Centre of Mass} (CoM), expressed in body frame:
\rmvspace[1.5]
\begin{align*}
{_B}\vec{F} &= \sum {_B}\vec{F}_i = m({_B} \vec{\dot{v}}_{CoM}) + m_B \vec{\omega} \times {_B}\vec{v}_{CoM} \\
{_B}\vec{T} &= \sum {_B}\vec{T}_i = \mat{I}({_B} \vec{\dot{\omega}}) + {_B} \vec{\omega} \times \mat{I}_B\vec{\omega}
\end{align*}
\rmvspace
${_B} \vec{v}_{CoM}$ vel. of CoM, ${_B}\omega$ rot. speed; both w.r.t. world frame
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\subsection{Wheeled robot Kinematics}
\begin{wrapfigure}[7]{r}{0.2\columnwidth}
\includegraphics[width=0.2\columnwidth]{assets/wheel-constraints.png}
\end{wrapfigure}
\bi{Non-holonomic} systems \textbf{not integrable}, no inst. move in every direct.
\bi{Wheel constraints} $v_i = \omega_i r_i$
\begin{itemize}
\item \textit{Driving straight} all $\vec{v}$ equal
\item \textit{Turning} Wheel axis must intersect the \bi{Instant Centre of Rotation} (ICR),
speeds: $v_i \div R_i = \Omega$ ($R_i$ dist. wheel-ICR, $\Omega$, vehicle body rotation rate)
\end{itemize}
\bi{Maneuverability}
\begin{itemize}
\item Deg. of Mobility: $\delta_m = 3 - $\#constrained directions
\item Deg. of Steerability: $\delta_s = $\#steerable wheels
\item Deg. of Maneuverability: $\delta_M = \delta_m + \delta_s$
\end{itemize}
\bi{Wheel Configurations}
\includegraphics[width=1\columnwidth]{assets/wheel-config.png}
\begin{scriptsize}
\begin{tabular}{llllll}
Bicyle & Tricycle & Ackermann & Diff. Drive & Two-Steer & Three-Steer \\
$\delta_m = 1$ & $\delta_m = 1$ & $\delta_m = 0$ & $\delta_m = 2$ & $\delta_m = 1$ & $\delta_m = 0$ \\
$\delta_s = 1$ & $\delta_s = 1$ & $\delta_s = 2$ & $\delta_s = 0$ & $\delta_s = 2$ & $\delta_s = 3$ \\
$\delta_M = 2$ & $\delta_M = 2$ & $\delta_M = 2$ & $\delta_M = 2$ & $\delta_M = 3$ & $\delta_M = 3$ \\
\end{tabular}
\end{scriptsize}
\bi{Differential Drive Kinematics}
\bi{State vec} $\vec{x} = [x_1, x_2, \theta]^\top$,
\bi{Inputs} $\vec{u} = [\omega_l, \omega_r]^\top$, $r_r$ radius of right wheel, $w$ width of robot
\bi{Gen. eq. of Motion} $\dot{x}_1 = v\cos(\theta)$, $\dot{x}_2 = v\sin(\theta)$, $\dot{\theta} = \Omega$,
with $v = 0.5\cdot(\omega_l r_l + \omega_r + r_r)$, $\Omega = \frac{\omega_r r_r - \omega_l r_l}{w}$
% TODO: Consider adding wheel constraints (planar) here as well (from W05 slides)
\textit{Straight}: $v = \omega_l r_l = \omega_r r_r$, $\Omega = 0$, $D = v\Delta t$.\\
$\vec{b}_s = \begin{bmatrix}
D \cos(\theta) \\
D \sin(\theta) \\
0
\end{bmatrix}$
$\vec{b}_t = \begin{bmatrix}
R(\sin(\Delta \theta + \theta) - \sin(\theta))\\
-R(\cos(\Delta \theta + \theta) - \cos(\theta))\\
\Delta \theta
\end{bmatrix}$
\textit{Turning}: $\Omega = (\omega_l r_l) / R_l\! =\! (\omega_r r_r) / R_r$, $R\! =\! v / \Omega$, $\Delta \theta\! =\! \Omega \Delta t$
\textbf{Discretized}: $\vec{x}_k = \vec{x}_{k - 1} b_i$ with $i \in \{s, t\}$. ($\int \ldots \dx \Delta t$)