How Does a Robot Learn to Walk on Its Own?

Imagine a robot like a baby learning to walk, it tries, falls down, and keeps trying until it gets better. This is how a robot learns: by making mistakes and getting better each time. It uses something called machine learning, which helps it understand what works and what doesn’t.

When the robot tries to walk, its sensors feel if it’s falling or standing up. If it falls down, it knows that move didn’t work. Then it adjusts, maybe moves its legs differently next time. It keeps doing this until it walks smoothly like a real person.