AI Life / Home / Robot Vacuums
Every robot vacuum box now says “AI obstacle avoidance.” The sensors behind that phrase vary a lot, and so do the results. Here’s what’s actually doing the seeing. Model picks live on the robot vacuum hub .
The sensors
- LiDAR tower. The spinning puck on top maps your rooms. It scans in a plane well above the floor, so it can’t see a flat cable at all (Techracker ).
- Front camera with object recognition. An RGB camera plus a trained model that labels things like shoes, socks and pet waste. Roborock says the Saros 10R recognizes 108 object types (TechGearLab ).
- Structured light. Projects a pattern on the floor to read depth. Dreame pairs it with an RGB camera on the X50 Ultra (Vacuum Wars ).
- Time of flight (ToF). Measures distance by how long light takes to bounce back.
The robots that do best in published tests combine a camera with a 3D sensor (Techracker ). A bumper alone only finds things by hitting them.
Why cables are hard
A charging cable is a few millimeters thick, lies flat, and is often the same color as the rug. Nearly every model tested does worse on carpet than on hard floor (Techracker ). Labs also use different cables and layouts, which is why the same robot can ace one test and snag in another.
How labs score it
Vacuum Wars runs a 24-object course, and the test average is about 16.6 objects avoided (Vacuum Wars ). RTINGS uses a fixed room with a loosely coiled USB cable on carpet, an extension cord on hard floor, socks, shoes, a bowl and fake pet waste, and scores the worst of three runs (Techracker ).
What to do with this
- Look for camera plus 3D sensing on the spec sheet.
- Check the avoidance sensitivity setting in the app. Higher caution protects cables but leaves bigger gaps uncleaned.
- Read results from more than one lab. See the socks and cables comparison for where labs disagree.
The same camera-plus-model idea shows up in security cameras , where the question becomes where the video gets processed.