Robot vacuums' navigation algorithms confuse me. Some seem to wander randomly while others follow a more systematic path. How does this difference come about? Do they rely more on lasers or cameras? How much does this choice affect cleaning efficiency?
How does the cleaning algorithm of a robot vacuum work?
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This topic really offers an engaging depth. You can see that most of the "wandering randomly" feeling in current algorithms stems from the combination of sensors and mapping methods. For example, simple LIDAR-equipped models constantly replanning their path to avoid dynamic obstacles (like a cat that wasn’t spotted while sweeping the floor) can appear "erratic" to the observer. So, in such reactive systems, how do they minimize sensor noise (e.g., LIDAR misreading due to reflections on shiny floors)? Isn’t that a major factor in cleaning efficiency in your opinion?