Here are some key ways in which indoor navigation AI improves vacuuming:
These vacuums use various sensors, such as cameras, infrared sensors, and lasers, to map the environment and identify obstacles like furniture, walls, and other objects. With this capability, they can maneuver around obstacles without getting stuck or causing damage.
This mapping feature allows them to understand the layout of your rooms and remember where they have already cleaned, preventing redundant cleaning or missing spots.
They use algorithms to calculate the most efficient route to cover the entire area while minimizing the time and energy required for cleaning. This results in faster and more thorough cleaning sessions.
With the ability to create maps and recognize different levels of your home, these vacuums can clean one floor, return to their docking station, and then move to another floor for continued cleaning, all autonomously.
For example, you can instruct the vacuum to clean the kitchen after dinner or the living room before guests arrive.
You can use a mobile app or the vacuum's controls to define areas where you don't want the vacuum to enter, such as around pet bowls or delicate items, providing greater control and customization.
This ensures the vacuum completes its cleaning tasks without running out of power.
As AI technology continues to advance, we can expect even more sophisticated features and improved performance from future generations of robotic vacuums.