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The world's first robot vacuum with dual 1600x1200 HD cameras and dual chips. Freo Z Ultra sees everything in high-definition colour and evaluates its surroundings with groundbreaking AI to enable real-time cleaning decisions.
Unboxing Video
First Use
Map Your Home, Your Way! Freo X Plus Floor & Carpet Settings.
Caster Wheel Removal, Cleaning & Reinstallation - Fix Navigation Issues and Restore Smooth Movement.
Network Resetting by the App
Clean Side Brushes
Remove, Clean, and Install the Roller Brush
Replace Mop Pads
Clean and Maintain the Dust Bin and Filter
Clean Freo Z Ultra Sensors
How to Pair robot and Dock
How To install the Detergent & Stain Remover
Buttons on My Z ultra
Clean and Maintain the Dirty Water Tank
In Freo Mind, the robot returns for mop washing by room by default.
The robot will determine the dirt level of the mop pads and adjust the washing cycle accordingly. If the mop pads are clean, the robot will shorten the washing cycle and the amount of water used decreases.
The robot will determine the dirt level of the mop pads and adjust the washing cycle accordingly. If the mop pads are dirty, the robot will extend the washing cycle and the amount of water used increases.
If the user has not selected a custom sequence, in the presence of heavily soiled rooms, the heavily soiled rooms will be cleaned after the non-heavily soiled rooms.
If a custom cleaning sequence is set, both vacuuming and mopping will follow the user-defined sequence.
To prevent carpet contamination, carpet cleaning should only proceed after the non-carpeted areas in the room have been cleaned.
When liquid waste is detected, the mopping pressure will be adjusted to 7N for better cleaning efficiency.
If dust and dirt particles stay outside the scope between the side brushes and the roller brush, the side brushes cannot effectively gather them in the middle for vacuuming and may send them flying. The flying debris will be later cleaned up. If you're still worried, you can set the robot to clean the current area in multiple runs for better cleaning results.
When the robot cleans along the room edges, the right side brush spins faster than the left side brush: the robot always aligns itself towards the wall with the right side closer to it. The faster rotation on the right side helps ensure that edge debris is swept out and subsequently sucked in by the roller brush and vacuum inlet. When the robot approaches a previously cleaned area during Vacuum and Mop in a Zip-Route, the side brush on that side will stop rotating to prevent the dusty side brush from contacting the wet surface, avoiding contamination.
The Max Fan Speed is designed for handling special dirt in a small area. It generates excessive noise and affects the robot's runtime. For daily household cleaning, the Normal mode is sufficient for most cleaning scenarios (with a dust removal rate of 99.4%). Therefore, the Max fan speed can only be briefly activated during remote control cleaning.
It is recommended to use the Max fan speed for heavily soiled scenes, and remote control cleaning allows for more precise control over the range of heavy dirt cleaning.
In the App, tap Video > Vacuuming > Max Fan Speed. You can activate it during video remote control. It will be automatically switched to Super Powerful after 10 seconds.
The suction power during vacuuming changes to the fan speed or carpet cleaning status (Quiet, Normal, Strong, Super Powerful). In case of a large amount of granular waste, the suction power will intelligently change to Super Powerful.
For a temporary map without a base station, changing the cleaning task parameters is not allowed, for example, adjusting the suction power during vacuuming.
For a temporary map without a base station, there is no logic for returning to wash mop as there is no base station for mop washing. You need to manually tap for mop washing.
Tasks started by operating the base station are default tasks on the primary map. To use the temporary map, you need to operate it through the App.
For a temporary map, you can only start room or area cleaning and cannot set scheduled or quick tasks.
Temporary maps without a base station only support area cleaning, so when a temporary map is opened, you will directly see the area cleaning box. The area cleaning box in the temporary map does not have a maximum side length limit, but the total cleaning area including mopping should not exceed 14 square meters (no area limit for vacuuming). As the map does not involve a base station, Freo Mind is not supported either.
The robot will dynamically adjust the cleaning mechanism and parameters based on the current cleaning mode and the type of dirt recognized through visual identification (granular waste, solid waste, liquid waste, and the amount of waste) to clean the dirt. Dirt will be displayed through cleaning reports. If the robot encounters a large amount of liquid during vacuuming, it will stop vacuuming and start dry mopping. Then it will return for mop washing.
For waste such as pet feces, plastic bags, and tissues that may affect the robot or the home environment, the robot will bypass and mark them on the map.
Supported obstacles and objects include not limited to: furniture (sofas, beds, tables, chairs, carpets, etc.), obstacles (wires, plastic bags, paper, dirt), dirt (liquids, cat litter, pet feces), as well as pets.
In the upper right corner of the App, tap Settings > AI Obstacle Avoidance and check if Live Photo is turned on. At the same time, consent to the ""Real Photo Privacy Agreement"" should be authorized. Once both are enabled, the robot will display the photos upon recognizing obstacles next time.
Note: If you revoke consent to the ""Real Photo Privacy Agreement,"" recognized obstacle photos will be cleared and cannot be recovered.
"The following scenarios may result in slight collisions or ineffective collision avoidance:
1. When the ambient light is dim, the robot will automatically turn on the fill light. However, the range and intensity of the fill light are limited. In dark environments, the overall visual obstacle avoidance capability may be affected, leading to slight collisions due to delayed recognition;
2. When the visual obstacle avoidance module is directly exposed to strong light, similar to human eyes, the module may not be able to see the surrounding environment clearly, resulting in decreased obstacle avoidance capability;
3. When the robot encounters multiple low obstacles such as table legs or other obstacles, the front visual camera and right structured light may not fully cover all visual blind spots. If obstacles are at the left edge, the visual blind spots may lead to collisions during obstacle avoidance.
In response to the above scenarios, we will continue to optimize the obstacle avoidance algorithm, increase recognition distance, and improve recognition accuracy."
In the upper right corner of the App, tap Settings > AI Obstacle Avoidance > Avoidance Strategy and select between two modes: intelligent and safe.
Intelligent: The robot will adjust the bypass distance based on different types of obstacles recognized through visual identification.
Safe mode: The robot will take a safer bypass distance directly to reduce collisions. However, this may lead to a certain degree of omission in cleaning.