How do robots learn from maze experiments?

How do robots learn from maze experiments?

Robots learn from maze experiments using algorithms that allow them to navigate and adapt based on their experiences.

What kind of algorithms are typically used?

Common algorithms include reinforcement learning, where robots receive rewards for reaching goals, and pathfinding algorithms like A*.

Can you give an example of a maze experiment?

Sure! In a typical maze experiment, a robot might start at one end and use sensors to detect walls, learning the best path to the exit.

How do they improve their performance over time?

They improve by analyzing past attempts, adjusting their strategies based on successes and failures, and optimizing their paths.