Bootcamps
Coming soon · the subjects below are what they will draw on
Subjects
What it is
Perception, localization, prediction, planning, and the safety case for a vehicle that drives itself.
Where it sits
School of Autonomous Systems · Upper level
Crunch Drive — Self-Driving, Perception & Control
You get
The whole stack: real sensors, road perception, sensor fusion and state estimation, localisation and mapping, planning and decision-making, vehicle control, storing and querying drive data properly, and testing and validating for safety.
What it is
Modelling dynamic systems, feedback, stability, PID tuning, and state-space control.
Where it sits
School of Autonomous Systems · Upper level
Crunch Control — Control Systems
You get
Modelling a physical system, reasoning about feedback, designing and tuning PID, reading a system's response, state space, pole placement and LQR, state estimation, nonlinearity and constraints, and implementing control digitally.
What it is
Microcontroller programming, interrupts, peripherals, timing constraints, and talking to sensors.
Where it sits
School of Autonomous Systems · Upper level
Crunch Wire — Embedded Systems & IoT Engineering
You get
Embedded and IoT engineering on real hardware — microcontrollers, peripherals, interrupts, buses, connectivity and power — with firmware you flash and debug.
Still to add
Formal real-time scheduling theory, and product certification (FCC/CE).
Crunch Edge — TinyML & Embedded Machine Learning
You get
The machine-learning end of it: collecting and labelling an edge dataset, training a model small enough to fit, quantisation, TFLite Micro, keyword spotting and vision on a coin-cell device, and optimising for battery.
What it is
GNSS, inertial sensing, Kalman filtering, and simultaneous localization and mapping.
Where it sits
School of Autonomous Systems · Upper level
Crunch Nav — SLAM & Robot Navigation
You get
Reasoning in coordinate frames, modelling sensors honestly, probabilistic state estimation, Kalman and particle filters, map building, SLAM including visual and lidar, and path planning.
What it is
Kinematics, sensing, perception, planning, and closing the loop on a physical robot.
Where it sits
School of Autonomous Systems · Upper level
Crunch Robotics — Intelligent Robotics & Autonomy
You get
Forty-eight weeks through every layer of an autonomous machine — embedded control, sensing, perception, planning and the software that ties them together — building on the embedded, AI and distributed-systems tracks.
Still to add
Fabricating and bringing up physical hardware, on the simulation-only path. Path A builds and wires a real machine; Path B hardens a simulated one instead, so a Path B learner never solders, wires or brings up real sensing and actuation — Week 42 is where that separates.
What it is
Flight dynamics, autopilots, mission planning, and airspace rules for uncrewed aircraft.
Where it sits
School of Autonomous Systems · Upper level
Crunch Sky — UAV & Drone Autonomy
You get
Flight physics, a drone's sensors, flying in simulation first, controller design, sensor fusion, path planning, obstacle avoidance, running missions, and navigating by vision.