Robot vacuumların haritalama ve odalar arası geçiş algoritmaları nasıl çalışıyor?

26 Eki 13:45

Many robot vacuums now claim to build maps of the home and switch between rooms intelligently. I'm curious about the underlying methods: do most devices rely on visual SLAM, lidar, or a combination of sensors? How do they handle dynamic obstacles like pets or moved furniture while maintaining an accurate map? Also, is it common for them to store maps locally versus in the cloud? Would love to hear your thoughts on the pros and cons of each approach.