Course 1, lesson 6 of 100, Ages 3+

Robot senses

How machines see, hear and feel

Like I’m 5

You have eyes to see and ears to hear. Machines have cameras for eyes and microphones for ears. AI is the part that works out what they mean.

The big idea

A camera gives a machine pictures, a microphone gives it sounds, and touch sensors tell it when it bumps into something. On their own, these are just signals: dots of colour or wiggles of sound.

AI turns those signals into meaning. It can tell that the dots of colour are a puppy, or that the wiggles of sound are someone saying 'hello'. That's how a car spots a stop sign and a phone hears its wake-up word.

Examples

  • Automatic doors: A sensor notices you walking up and opens the door.
  • Phone camera: It finds faces so the picture is sharp where it matters.
  • Smart speaker: Its microphone hears your voice and the AI works out the words.

How it works

  1. A sensor collects a signal, like a picture or a sound.
  2. AI looks for patterns in the signal.
  3. The machine decides what to do, like open a door or answer you.

Check your understanding

What are a robot's eyes usually?
Options: Cameras; Wheels; Batteries.
Answer: Cameras. Cameras collect pictures, a bit like eyes do.
Which part works out what a sound means?
Options: The AI; The battery; The plastic case.
Answer: The AI. The microphone collects the sound, and the AI works out what it means.

Remember

Sensors collect signals. AI turns signals into meaning.

Talk about it

Which of your senses would be hardest to give a robot? Why?

Go deeper

Turning raw signals into meaning is called perception. Cameras give grids of numbers (pixels), microphones give sound waves, and models are trained to map those numbers to labels like 'cat' or 'hello'.