AI in the Real World Section 107
Robotics, Control and Autonomy
AI that moves physical objects, where a mistake is not a wrong prediction but a collision.
10 of 10 lessons published Three reading levels on every lesson
Lessons in order
Work top to bottom. Each lesson assumes the one above it.
- Robot sensors and time synchronisation
- Sensor fusion and the Kalman filter
- PID control, and when to use it instead
- Sim-to-real transfer
- Imitation learning and behaviour cloning
- Grasping and manipulation
- Predicting what people and cars will do next
- Inside an autonomous driving stack
- Vision-language-action models
- Safety in physical AI systems