How does agentic AI function in robotics systems?

Agentic AI in robotics is like having a robot that thinks and decides on its own, just like you do when you choose what toy to play with next.

Imagine your robot friend is playing hide-and-seek. Instead of just following simple instructions, it thinks about where to hide, maybe behind the couch or under the table, based on what it sees and hears. That’s agentic AI at work: the robot uses information from its surroundings, like how bright the room is or what sounds it hears, to make choices.

Agentic AI in robotics has two main parts:

1. Sensing: The robot uses sensors, like eyes, ears, and touch, to understand what's going on around it.
2. Deciding: Based on what it senses, the robot makes decisions about what to do next, just like you decide where to hide or how to win a game.

This is like having a smart toy that doesn’t just follow rules but learns from its environment and acts wisely, no need for magic, just clever thinking!