A robot learns like a child learning to ride a bike. Imagine you're teaching a robot how to sort toys, it tries different ways, and every time it gets it right, it feels happy. When it makes a mistake, it feels sad. Over time, it starts getting better at sorting because it's learning from its mistakes.
Examples
- A robot learns to stack blocks by trying different ways and feeling happy when it gets the order right.
- A robot tries to grab a ball, sometimes it works, sometimes not, but eventually, it knows how to do it.
- A robot learns to draw shapes by trial and error, like a child learning to color.
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See also
- How Does a Robot Learn?
- How Does a Computer Learn?
- How Does a Robot Learn to Walk?
- What Is the Difference Between ‘Artificial Intelligence’ and ‘Machine Learning’?
- How Does a Computer Know What You're Thinking?
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