How It Works

Our robots use a combination of 3D structured‑light sensors and AI‑powered image recognition to identify objects in their path. Unlike basic bump‑and‑go systems, they recognize over 50 common household items — from cables and socks to pet waste — and plan a smooth path around them before getting close. This means fewer stuck robots and fewer interrupted cleaning cycles.

Why It Matters

Traditional robots either bump into objects or rely on simple infrared sensors that miss low‑lying items. Our system builds a real‑time depth map of the room, recognizing shapes and sizes. If a new object appears (like a dropped toy), the robot reroutes instantly. The result? You don't have to pre‑tidy before every clean.

Key Benefits

Detects and avoids objects as small as 2cm

Works in low light and complete darkness

Real‑time processing with on‑board AI (no cloud delay)

Reduces stuck alerts by over 90% compared to non‑AI robots

Learns from your home layout over time for even smarter navigation

Real‑Life Performance

In our testing homes with children and multiple pets, obstacle avoidance turned a daily frustration into a forget‑about‑it routine. The robot quietly cleans under desks, around chair legs, and through cluttered hallways — without moving a single thing out of place.