Robot vacuum cleaner Xiaomi: video as a vacuum cleaner and does it cope with dirt

When you look at smart tech commercials, there's a lot of question about the actual performance of the device in the home. Xiaomi's vacuum cleaner robot has gained popularity thanks to a combination of affordable pricing and advanced navigation algorithms, but static images don't convey the dynamics of cleaning. It's video footage that allows you to assess how the device copes with obstacles, how loud it works and how deeply it cleans the pile of carpets.

In this article, we will analyze many video tests of various models, from budget versions to flagships with wet cleaning function. Xiaomi Mi Robot Vacuum and newer modifications of the Roborock series demonstrate different behaviors in complex areas, and visual evaluation plays a key role here.

The focus is on how the machines move between rooms and map the space in real time. Video captures the process and reveals nuances that are elusive in normal use, such as return to base or chair leg-bypass algorithms. Video tests show that corner cleaning efficiency in side-brush models is 30% higher than in devices that rely only on the main turbobrush.

Analysis of navigation and construction of maps on video

The first thing that experts look at when they look at the test records is the trajectory of the movement. Modern models equipped with a LiDAR laser rangefinder move strictly along rulers, methodically filling the space. The video shows the device first circumnavigating the perimeter of the room, creating a circuit, and then proceeding to zigzag the passage of the central part.

Unlike the chaoticly moving old models, the Xiaomi Robot Vacuum E and similar gadgets rarely pass in the same place twice without having to, saving battery power and battery life. However, you can see from the records that in conditions of severe clutter or with many small items, the algorithm can fail, forcing the robot to return to the already cleaned areas.

An important aspect is the operation of virtual walls and no-go zones, and videos often show the user using the application as no-go zones, and the device, when it comes to the border, unfolds even if there is nothing physically there, which confirms the high accuracy of positioning and synchronization with the cloud server.

It's worth noting the difference in behavior when you go from hard floor to carpet. Videos show that most models automatically increase the suction power when they detect a pile, a process that takes a few seconds, and the audio of the tests can be heard clearly the characteristic hum of the motor, amplifying at the right moment.

Cleaning efficiency on different types of surfaces

Testing on various coatings is a must-have part of any review. On smooth laminate or tile, Xiaomi's robot vacuum cleaner performs best, collecting up to 95-98% of the first pass debris. Large particles, such as crumbs or cat filler, are sucked in instantly thanks to the powerful airflow.

The carpeting situation is different. Short-wheeled carpets clean fairly well, but long pile can be a problem for models without automatic brush lifting. Video footage shows the device struggling to overcome high barriers, sometimes just pushing the carpet in front of it instead of driving on it.

• 🧹 Hard coatings (tiles, laminate) - perfect cleaning, brush does not get stuck.
• 🐈 Low-pile carpets are effective wool collection, but trash can be scattered with a brush.
• 🛑 High-tail carpets – the risk of getting stuck and reducing the efficiency of absorption.

⚠️ Warning: When cleaning dark carpets or black-painted carpets, optical drop sensors may falsely trigger, perceiving the surface as a cliff.

The work in the corners and along the boards deserves special mention. The main brush often does not reach the walls, leaving a narrow strip of dust. The side brush partially compensates for this disadvantage by sweeping debris from the corners, but in video it is often noticeable that perfect cleanliness in the corners is difficult to achieve without manual improvement.

Comparison of models: Xiaomi vs Roborock

Xiaomi is releasing vacuum cleaners under its own name and through the Roborock sub-brand. Visually, they may be similar, but the algorithms and technical execution differ. In comparative video tests, it is clear that Roborock models tend to have a more advanced passability system and cope better with obstacles up to 2 cm high.

Xiaomi's entry-level models often lack a laser rangefinder and use gyroscopic navigation, which in the video looks like "checker-by-check" or stripe movement, but without first scanning the perimeter, which takes longer, but eventually allows you to clean the room.

Flagship devices have additional modules, such as a sonic wash or automatic garbage disposal. Videos show how a robot with autoloading drives up to a base that emits a characteristic loud suction sound, cleaning the container in 10-15 seconds.

Problems with obstacles and wires

One of the most popular queries is, "Like a Xiaomi robot vacuum cleaner video vacuums wires." This is the Achilles' heel of many models. You can see from the recordings that thin wires lying on the floor often get into the brush, wind on it and block movement. The device starts to emit an audible signal and report an error.

Models with AI-based obstacle recognition are more confident, and the camera in the front recognizes objects like socks, wires, or toys and gently circles them, leaving little margin, but even they don't guarantee 100% protection from entanglement in long curtains or hanging wires.

• 🧦 Fabric and socks – often dragged under the body, requiring intervention.
• 🔌 Wires are the main enemy, especially if they are not fixed.
• 🪑 Furniture legs – modern models wrap around them, old ones can beat.

⚠️ Warning: Before starting cleaning, be sure to remove wires, chargers and small toys from the floor.This will prevent the side brush from breaking and the device from getting stuck.

Video tests of thresholds show that the 2 cm declared is the ideal condition. In reality, if there is a rug or a wire on the doorstep, the robot may not come on the doorstep the first time, but will try to push the obstacle, accelerate and try again until it exhausts its attempts.

Wet cleaning: marketing or reality?

Many models support wet cleaning, but the videos show varying degrees of effectiveness. The basic versions simply put a water tank and a cloth behind them, slightly moisturizing the floor, which is more like dusting than full washing.

More advanced versions, such as the Xiaomi Robot Vacuum Mop, use a vibration platform or rotating discs, and video footage shows the device making reciprocal movements, pressing the cloth more firmly against the floor, which allows you to wipe off frozen spots, such as footprints or spilled coffee.

It's important to understand that a robot can't replace a mop with a lot of pressure, and it's great at keeping things clean and removing fresh contaminants, but it's better to use traditional methods for cleaning with chemicals. Videos show that after the robot passes, the floor remains slightly moist and dries quickly.

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Use only special fluid for robot vacuum cleaners or regular water. Aggressive chemistry can damage the rubber pump seals and the plastic tank.

Noise levels and behaviour in the dark

The sound aspect is often underestimated until you see reviews with a good microphone. In quiet cleaning mode, the device emits a background hum of about 50-55 dB, which is comparable to quiet conversation. In Max mode, noise increases to 65-70 dB, which can already interfere with watching TV or talking.

It's interesting to watch the robot behave in total darkness, because LiDAR's navigation is not dependent on light, it works at night as efficiently as it does during the day, and many users are specifically starting cleaning at night when no one is home to keep noise out.

The video shows the bumper sensors working in the dark, gently poking into the chair leg, slowing down and turning smoothly, preventing damage to furniture and the device, and reducing impact noise.

Frequent Questions and Answers (FAQ)

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Video reviews are the best way to assess the real passability and noise of the model before buying, since the technical characteristics on paper do not convey the dynamics of the work.