Robot Vacuum Cleaner (LiDAR Navigation, 3,000–5,000 Pa)

LiDAR vs vSLAM Navigation: What to Specify

LiDAR-based navigation uses a spinning time-of-flight sensor to build a real-time map — typically accurate to within 2–3 cm in flat environments. vSLAM (visual simultaneous localization and mapping) uses a downward or upward-facing camera plus accelerometer data. In practice, LiDAR performs more consistently in low-light environments and returns to base reliably. vSLAM is cost-competitive ($8–12 less per unit) but struggles in rooms with repeating floor patterns.

For the EU market, verify the LiDAR sensor’s laser class: Class 1 (eye-safe) is required for consumer products. Some lower-cost units use Class 2 sensors with a diffuser — this is not EN 60825-1 compliant. Request the laser classification documentation from the sensor supplier. Also verify brush roll motor current draw under load: a brush roll that stalls on thick carpet without triggering the overcurrent protection will burn out within the warranty period.

Suction Pa Measurement and IEC 60312 Compliance

Suction pressure in Pa is measured at the suction inlet with no airflow (blocked condition). This number is not comparable to the working suction under normal carpet cleaning airflow. The relevant metric for cleaning performance is airwatt (AW), calculated from combined airflow and suction — but few Chinese factories test or report this correctly. Request a suction test report per IEC 60312-1 Annex B, which specifies the airflow/suction measurement method for floor care appliances.

Mop module effectiveness is frequently overstated. For hard floor mopping, a vibrating or spinning mop head (electric mop plate) outperforms a simple water-dispensing static cloth — verify which type is in your sample. Dustbin capacity shrinks when the HEPA filter clogs: test dustbin capacity retention after 30 consecutive cleaning cycles without cleaning the filter.