Imagine a robot trying to catch a ball for the first time. It misses, but then it tries again, and again, until it gets better at catching. That’s learning! Just like how you learn to ride a bike by falling down a few times, robots use trial and error to get smarter over time. They keep track of what worked and what didn’t, and they adjust their actions based on that. It might seem simple, but it's the start of something big!
Examples
- A toy robot learns to move forward by bumping into walls and figuring out when to turn.
- A robot learns to sort blocks by trying different ways of picking them up and seeing which works best.
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Categories: Technology · Artificial Intelligence,Machine Learning,Robotics