Robotic navigation is like playing a game of "follow the leader" with a robot. Imagine you have a toy robot and you want it to move around and explore the room. You can't control it with a remote, so you have to program it to figure out how to move on its own.
The robot has to know where it is in the room and where it wants to go. For this, it uses special sensors that can detect objects and distances. It also has a computer brain that can process all the information and make decisions.
Just like you would use your eyes to look around and your brain to decide where to go next, the robot uses its sensors and computer to navigate. It looks for obstacles in the way and decides to go around them, and it reads signs or markers that tell it where to go next.
Sometimes the robot might make a mistake and bump into something. But, just like how you might correct your path if you bump into a chair, the robot can learn from its mistake and adjust its navigation to avoid it next time.
In summary, robotic navigation is all about teaching a robot to move around on its own by giving it the tools and intelligence to sense and process its environment. It's like a game of "follow the leader" where the robot is trying to follow a path you've set for it, while at the same time avoiding obstacles and making adjustments when necessary.