Map & Path Efficiency (Robot Vacuums)

LiDAR mapping and pathing are widely praised: fast, accurate maps; methodical row-by-row routes; room/zone cleaning; and multi-level mapping support. It typically covers space efficiently and returns to the dock reliably.

Creates detailed, efficient maps and usually cleans in structured passes; supports multi-room/zone control and improves efficiency after the initial learning run.

Gyroscope-based systematic zigzag/path cleaning with edge and spot modes; no advanced mapping shown.

Navigation is typically systematic and efficient—bordering first, then straight-line passes—with fast coverage in tests, but mapping can take retries in cluttered spaces and the robot may return to the dock mid-clean for emptying/washing/recharging.

Once mapped it tends to clean in orderly rows with good coverage, but initial mapping can be slow and sometimes incomplete; some reviews note longer runtimes versus LiDAR rivals though keep-out zones help refine routes.