Robot vacuums use either cameras (which recognize shapes) or laser sensors (which measure distance via light reflection) to detect obstacles. The vacuum’s software analyzes this data and adjusts its route before hitting anything, similar to how a car uses headlights and GPS to navigate.Is laser or camera obstacle avoidance better?

Laser (LiDAR) is generally more reliable in low light and better at detecting small objects, while camera systems are improving quickly with AI. Laser costs more but works well in shadows; cameras are adequate for most homes and are catching up technologically.Do I really need obstacle avoidance on a robot vacuum

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