Modern robotic cleaning systems allow you to control the cleaning process from a distance, without getting out of the sofa. Users often wonder how to get the device to ignore the current location and start working in a remote room. This is especially true when you urgently need to remove spilled liquid in the kitchen or clean up the living room before guests arrive while the robot is on the base in the hallway.
To accomplish this, Xiaomi and Roborock have advanced navigation algorithms based on laser scanning or visual cameras. A virtual map of an apartment stored in the deviceโs memory allows you to precisely coordinate the janitorโs movements between isolated spaces. You donโt need to physically carry the gadget if the home is in a safe way.
However, there are technical nuances that can prevent remote start-up in a particular area: the software must correctly recognize the boundaries of rooms, and the battery level must be sufficient to cover the distance and perform the cleaning cycle. In this article, we will discuss in detail all available remote control methods.
Requirements for navigation between rooms
Before trying to send the device to another part of the house, you need to make sure that the map is correctly constructed. Laser rangefinder (LiDAR) or visual navigation system had to scan the entire available perimeter of the housing. If the map is (incomplete) or broken into several unrelated fragments, the transition command can be ignored.
The critical parameter is the charge level. The robot calculates the route based on the distance to the target point and back to the dock. If there is little power, the safety system will block long-distance crossings so that the device does not get stuck in the middle of the path. It is also important that the doors between the rooms are open, and there are no high obstacles on the floor, such as thresholds above 2 cm or scattered wires.
โ ๏ธ Warning: Make sure there are no dark carpets or glossy surfaces on the floor between the robotโs current position and the target room that can disorient the drop and distance sensors.
For stable communication, use a 2.4 GHz Wi-Fi network, as it better penetrates walls, providing constant monitoring from your smartphone. Losing a connection when you send a command can lead to the (team) not being executed and the device remains in standby mode.
Use of the room separation function in the application
The most reliable way to manage zone cleaning is to divide the space correctly in the Mi Home or Roborock app, so if your device supports Multi-floor mapping or just map editing, you can manually map the boundaries of the spaces, which allows the system to understand where the hallway ends and the bedroom begins.
To complete the task, go to the device menu and select the map editing mode. Using the "Separate" tool, draw a line along the doorway or bottleneck, visually separating one room from another. Once you save the changes, each zone will be given a name, such as the Kitchen or the Living Room, which will simplify further management.
Now that the housing structure is digitalized, you can send the robot to a specific room in one click. Choose the right room on the map, set the cleaning mode (quiet, standard or turbo), and start the process. The device will independently build a route, minimizing the crossing of the already cleaned areas.
โ๏ธ Preparation of a zoning map
It's worth noting that some models require proof of boundaries after each general cleaning, and if you rearrange furniture, the algorithm might suggest updating the map, and it's best to keep the navigation accurate.
Start cleaning in selected areas
Zone Cleaning is the most flexible tool for spot cleaning, and unlike choosing an entire room, you can select a rectangular area of any size directly on the map, ideal for situations where pollution is localized in the corner of a large living room or in the kitchen.
To use this method, open the map in the app and click on the zone highlight icon, and you'll see a frame that you can drag and drop and change in size, giving you the starting and ending coordinates of the cleaning, and you can create up to 4 of these zones at once, allowing you to cover several disparate areas in one cycle.
Once you have the boundaries, press the start button, and the robot will ignore the rest of the apartment and focus solely on the allocated rectangles, which also saves battery life, since the device does not waste any time bypassing the extra meters.
| Parameter | Description | Impact on cleaning |
|---|---|---|
| Quiet mode. | Minimum engine speed | Ideal for night cleaning, but reduces suction |
| Turbo mode. | Maximum engine power | Effective for carpets, but quickly drains the battery |
| Standard mode. | Balance of noise and power | The Best Choice for Daily Cleanliness Support |
| Double cleaning. | Double passage through one zone | Improves cleaning quality, increases working time |
The use of zoning is particularly effective in complex layout apartments, where automatic room division may not work properly due to the lack of clear doorways or arches.
Application of forbidden zones and virtual walls
Sometimes the challenge is not to send a robot anywhere, but to prevent it from entering a particular room while it's moving toward its target, using virtual walls and no-go zones, and these tools create an invisible barrier that the device can't cross.
In the app, you can draw a red line through the doorway or paint over an area where the robot should not go, which is useful if you have a carpet in the same room that you can't wet or you have toys that are dangerous to brushes scattered.
What is the difference between a no-go zone and a virtual wall?
These parameters are set up in the same map editing menu, and once the constraints are set, the robot will route around the marked areas, even if the logical shortest path is through them, ensuring that the device does not get stuck in the wrong place and only completes the task in the allowed perimeter.
If you reset the map or move the base to a new location without re-scanning, all the barriers you have installed will disappear.
Voice control and automation scenarios
For maximum convenience, voice assistants like Aliice, Google Assistant or Amazon Alexa can be used if they are integrated with your Xiaomi device. The phrase "Alice, turn on kitchen cleaning" can trigger a pre-configured script that will send the robot to the desired point.
The Mi Home app has Smart Home, and you can create automation, like, "If it's 10:00, you can get the robot into the living room," which allows you to clean the room when you're at work, without having to open the app.
โ ๏ธ Note: When using voice commands, make sure that the names of rooms in the smart home application and in the robot maps are the same, otherwise the assistant may not understand where exactly the device should be directed.
There is also the option of creating shortcuts on the smartphone desktop. Add a cleaning start widget in a particular room to activate the process in a single touch, bypassing long searches in the app menu.
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Create a separate scenario called โQuick Cleaningโ that will be run by the robot in Turbo mode only in the hallway area for 10 minutes after you return from a walk.
Solving problems with navigation and getting stuck
Even the smartest models can have trouble moving between rooms. If the robot doesn't go into the designated area, check if the chair legs or the dangling curtains block the path. Sensors can perceive black surfaces as a cliff, causing the device to turn around.
Loss of orientation in low light is a common problem, especially in models with a camera (VSLAM), in which case it is recommended to leave the lights on in corridors or install additional lighting in transit zones.
If the device is constantly trying to enter the forbidden zone or ignores the command, try cleaning the sensors and the laser module with a soft dry cloth.
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Regular cleaning of sensors and updating the map of the room is the key to accurate navigation of the robot vacuum cleaner between the rooms.
In difficult cases, resetting the map and building it back with the doors open to all the rooms helps, allowing the algorithm to recalculate optimal paths and eliminate accumulated positioning errors.