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Notes: Please use EZVIZ App to select Chime Type during DB1 & DB1C setup.
RGB AI cameras can identify more than ten common objects, such as slippers, socks, cables, trash cans, scales, and other objects. 3D line lasers can accurately detect and avoid obstacles above 2cm. However, obstacles below 2cm that have not been trained with AI cannot be identified and avoided. Also, since AI training for RGB has not yet been conducted in the dark, obstacles in the dark cannot be identified for the time being, and can only be detected and avoided using 3D line lasers. So that 0 collision can not be achieved. Till now, no manufacturers can declare their device can achieve 0 collision.
2 cm
220V*0.3A/1000*3H=0.198 kW·h
RS2 can save up to 4 floor maps. Each map can support up to 500 square meters.
First use of multi layer map cleaning:
1. Place the Robot: For the first use, if you want to clean a certain floor, please move the RS2 and docking station to the corresponding floor;
2. Click [Start] to begin the cleaning task, and RS2 will automatically draw a new map.
Daily use of multi floor cleaning:
1. Place the Robot: After saving a floor map, please first move the RS2 and docking station to the corresponding floor;
2. Start cleaning: RS2 will automatically adapt to the corresponding floor map, just enable cleaning directly.
The Wi-Fi disconnection does not affect current and already scheduled tasks. And the RS2 will automatically reconnect to the Wi-Fi network when it approaches to the router
The mop cloth can be self-cleaned and if necessary, remove it and wash with hot water in the pool.
There will be a few water stains, which is a normal phenomenon. Maintaining ventilation can quickly dry these stains.
Sweeping: 0.3m/s, mopping: 0.25m/s.
The mop cloth can be self-cleaned and the docking station has the function of air drying the mop cloth. If it is smelly, it may be due to excessive use time, and it needs to be replaced with a new mop cloth in time.
