For the non-roboticists: SLAM = Simultaneous Localization And Mapping.

In robot navigation problems we often face the problem to get a grasp of the environment and the robot’s position in it. It’s easier if there’s already a map provided and some sort of external observer who knows where the robot is relative to the map.

Since people don’t usually go into your home to map it out and install some sensors in order to locate the robot, SLAM is the way to go. While moving through an environment, a map of the environment is created and by utilzing some fancy techniques based on sensor data like from cameras, mic+loudspeaker, LIDAR or whatever, it is possible to also infer the robot’s position.

Did you sue them?

When AI systems ingest copyrighted works, they’re extracting general patterns and concepts - the “Bob Dylan-ness” or “Hemingway-ness” - not copying specific text or images.

Okay.