Beyond Bump-and-Turn

LiDAR sees geometry, but geometry can't tell a phone cable from a floor pattern. AI object recognition adds a camera or structured-light sensor feeding a neural network trained on millions of household object images — classifying obstacles in real time as the robot approaches.

Avoid, Skirt or Climb?

The classification drives behaviour: cables and socks get a wide berth (tangles are the #1 robot failure), chair legs get tight cleaning circles, rug edges trigger climb mode with boosted suction. In Indian homes — floor seating, toys, festival decor — this is the difference between autonomy and daily rescues.

It Improves Over Time

Recognition models update via app firmware, and mapped homes accumulate learned zones. Deeper dive: LiDAR & SLAM explained · the full AI cleaning robots range.