Status: Planned
Overview
This track introduces the core concepts behind Physical AI: how sensors perceive the world, how actuators change it, and where machine learning fits in between.
Units
- What is Physical AI? History and landscape
- Sensors: types, interfaces, and signal conditioning
- Actuators: servos, motors, solenoids
- Microcontrollers vs. microprocessors for AI workloads
- Data collection and labeling for physical systems
- Classical ML on constrained hardware
- Introduction to TinyML
- End-to-end project: gesture-controlled LED matrix