SLAM

Simultaneous localization and mapping

What Is Simultaneous Localization and Mapping?

SLAM is a commonly used method to help robots map areas and find their way.

Using SLAM, robots build their own maps as they go. It lets them know their position by aligning the sensor data they collect with whatever sensor data they’ve already collected to build out a map for navigation.

https://blogs.nvidia.com/blog/2019/07/25/what-is-simultaneous-localization-and-mapping-nvidia-jetson-isaac-sdk/

SLAM algorithms are tailored to the available resources, hence not aimed at perfection, but at operational compliance. Published approaches are employed in self-driving cars, unmanned aerial vehicles, autonomous underwater vehicles, planetary rovers, newer domestic robots and even inside the human body.

https://en.wikipedia.org/wiki/Simultaneous_localization_and_mapping