I can provide you with general information on how some robotic vacuum cleaners save maps:
Laser or Lidar Mapping: Many high-end robotic vacuum cleaners use laser or lidar (light detection and ranging) sensors to create detailed maps of your home's layout. These sensors scan the surroundings, measure distances, and create a virtual map of the space.
Camera-Based Mapping: Some robotic vacuums use onboard cameras and advanced computer vision algorithms to navigate and map the environment. The cameras capture images as the vacuum moves around and creates a map based on the visual data.
Simultaneous Localization and Mapping (SLAM): SLAM is a technique that allows a robot (in this case, a vacuum cleaner) to map an unknown environment while simultaneously tracking its own position within that environment. It combines data from various sensors to create a map.
Real-Time Updates: Modern robotic vacuums can update and modify their maps in real-time as they clean. This enables them to adapt to changes in the environment, such as furniture being moved or doors opening and closing.
App Integration: Many robotic vacuum cleaners come with smartphone apps that allow you to view and manage the maps. Some apps even allow you to name rooms, set virtual boundaries, and specify no-go zones.
Multiple Floor Maps: Some advanced models can save maps for multiple floors in multi-level homes, making it easier for the vacuum to navigate between different levels.
It's important to note that the mapping capabilities can vary between different brands and models of robotic vacuum cleaners. While high-end models often provide more sophisticated mapping features, more budget-friendly options may have simpler mapping capabilities or none at all. When choosing a robotic vacuum cleaner, consider your specific needs, the layout of your home, and the level of mapping functionality that will best suit your cleaning requirements.