product
2026-11-10 17:30
The "status quo" has a powerful gravitational pull.
The USB-A interface always needs to be turned over and tried several times, and luggage was not equipped with wheels until the era when humans landed on the moon. Many old things that seem unreasonable today were once "taken for granted" before better new solutions came out.
Today's sweeping and mopping robot industry is in a similar inertia to a certain extent: Frequently dumped dust boxes, missed stubborn stains, and mops that get dirtier with more use seem to be just the price that automated cleaning has to pay.
But two months ago, Dyson launched the R3 Nurovi Spot+Scrub UV Ai smart sweeping and mopping robot at the Dyson Unveiled global launch.
This company, which is known for its engineering culture and solving daily problems, obviously wants to bring some new inspiration to the highly mature and calm category of "sweeping and mopping robots".
Just recently, Ai Faner also received this Dyson smart sweeping and mopping robot. After using it at home for a period of time, I realized that this machine full of engineering ingenuity has indeed created a cleaning experience that is different from the past, and it has also rewritten my expectations for sweeping and mopping robots to a considerable extent.
A machine with "stomatophilia"
As the latest flagship product in the Nurovi cleaning robot family, its full name sounds a bit awkward, but it can be easily understood by breaking it down word by word:
Neural Intelligence + Vision + Spot + Scrub + UV + AI
In this way, the characteristics of the product can be easily revealed——
Garbage and stains are found through visual perception (including the new UV stain-revealing capability), and then artificial intelligence makes judgments and scrubs them.
Generally speaking, the task of a sweeping robot is to cover the ground: build maps, plan routes, traverse the room, and then complete cleaning according to the set frequency and mode.
But means and goals have always been two different things. Traversing the room is just a means, it serves the ultimate goal of "making the floor clean", but there is no guarantee that this goal will be achieved.
For example, when faced with sticky stains such as spilled vegetable juices and sugary drinks, just sweeping once in a regular manner may not be able to truly clean it, and may even "smear" the stain evenly, causing counterproductive results.
That being the case, why not design around "goals" from the beginning?
As a result, Dyson built a smart sweeping and mopping robot with a "geophobia". For it, making sure the floor is clean is the top priority.
The first factor that allows "germophobia" to be established is perception - only when you can see the stain can you clean it.
What you see with the naked eye may not be the reality. Dyson’s V15 Detect vacuum cleaner launched in 2021 uses green light dust display technology for the first time, using low-angle light to strengthen the shadows and outlines of dust, exposing fine dust that is usually hidden on the ground and difficult to detect with the naked eye.
Today's Dyson smart sweeping and mopping robots naturally inherit this technology.
Furthermore, it is equipped with a UV ultraviolet stain-revealing system for translucent stains left behind after liquids such as cola, milk, vegetable juice, and pet excrement dries up. Using the fluorescence emitted by these residues under ultraviolet excitation, it can reveal sticky stains hidden in inconspicuous places on the floor that may squeak when slippers step on them.
You can see the stains, but you also need to know how to clean them appropriately.
With the help of more than 20 years of accumulation of robot vision technology, the high-definition camera equipped on the body of Dyson’s intelligent sweeping and mopping robot will continuously observe the ground and hand over the collected information to the AI detection system——
It can identify nearly 200 stains and objects in your home environment and make two-way decisions based on them.
When encountering obstacles such as scattered toys, slippers, or data cables, the machine will plan a path to dexterously avoid them; when faced with real stains and garbage, it will adjust the cleaning strategy according to the content of the stains and the material of the ground, thereby "defeating each one."
An example is that when passing by a short-haired carpet where my cats often nap and which has a lot of cat hair attached to it, I can tell from the operating sound that the robot has greatly increased its suction power. The upper limit of suction power of 30,000 Pa obviously also gives it huge room for adjustment.
What’s even more interesting is that Dyson’s smart sweeping and mopping robot has learned to “check operations”:
When it encounters stains, it will perform targeted scrubbing, and then use the "dual light system" combined with the camera to check the cleaning results. If stains remain, continue scrubbing until the recognition system determines it is safe to leave.
In this regard, it is appropriate for Dyson to name this system "Gemophilia Algorithm".
This AI-driven cleaning feedback mechanism allows the robot's work to no longer be limited to a fixed number of cleanings, but to adjust its actions at any time according to the actual situation, just like humans doing housework.
Here, machines have diagnostic and decision-making capabilities that are close to humans, and traditional automation rules have given way to the fundamental goal of cleaning the floor. Such changes are obviously more in line with our actual home needs.
In order for a sweeping and mopping robot to do such a thing, it must combine optics, image recognition, artificial intelligence and mechanical control to build a seamless "cleaning-detection-rescanning" feedback loop.
Dyson's accumulation of engineering and technical strength was transformed into some thoughtful response capabilities at this time.
In other words, this is basically a sweeping and mopping robot with a "thought" of its own.
Playing a big role in the subtleties
Perception and decision-making are more about mechanism design. If you want to clean the floor, you still have to implement specific mechanical actions.
Turning over the body of the Dyson smart sweeping and mopping robot, you can see that the front end is equipped with a pair of redesigned anti-tangle double-sided brushes, which are still Dyson’s classic red and blue contrasting colors.
Here, the working logic of the side brush has changed from conventional "high-speed flapping" to "inward guidance" - the designer has strictly limited the inclination angle and rotation speed of the bristles to ensure that the garbage on the wall and dead corners can be steadily moved into the negative pressure airflow area of the rear main brush.
When it comes to actual operation, I sprinkled a handful of finely divided cat litter on the edge of the baseboard and inside the corner of the wall. As a result, almost no particles were knocked to the outside of the fuselage. Most of the cat litter was brought into the main suction port the moment it came into contact with the side brush; the roller that automatically extends laterally will also perform a thorough wet mopping of the wall edge.
When dealing with the classic problem of hair entanglement, Dyson also came up with a more elegant purely physical solution.
At the root of the side brush, the designer added a soft rubber structure similar to spiral shells and petals. When scattered long hair and pet hair attach to the side brush and become entangled with each other, the soft rubber structure will automatically fold, causing the entangled hair to suddenly lose its "fulcrum" and slip off, and be directly sucked into the dust box by the powerful negative pressure airflow.
After several days of daily cleaning, I turned the machine over and checked the side brush axis and the main brush. There was indeed no knotted hair. It does not rely on complicated hidden cutting blades, but directly relies on geometric structures to unwind. It saves the trouble of manual cleaning and avoids the risk of accidentally scratching the floor or carpet with the metal blade.
Having solved the problem of dry garbage cleaning, sweeping and mopping robots often have to face the classic "secondary pollution" challenge during wet mopping -
When using traditional rotating disk mops or ordinary rollers to deal with large areas of wet garbage, it is easy to fall into the embarrassment of "wiping the entire house with a dirty rag".
In contrast, Dyson's smart sweeping and mopping robot uses a 27-centimeter-wide living water roller solution, which integrates a 12-point hot water spray system to continuously clean the surface of the roller brush through a combination of high-frequency hot water wetting and scraper removal. Every time it rotates, what comes into contact with the ground is a clean roller.
With this structure, the large area of milk spilled on the ground did not test the Dyson smart sweeping and mopping robot. Even though it scrubbed the stained area several times, the roller did not pull out white water marks on the floor, and the stain was peeled off and absorbed within a small area.
The moment you drive onto the living room carpet, the roller will automatically lift 10 mm and cut off the water supply, making the switch between dry and wet easy.
As for Dyson’s signature multi-cone cyclone technology, it is still retained on the self-dust collection base station this time.
The iconic cyclone separation technology allows the dust collection base station to separate dust and hair from the airflow and throw them into a large-capacity transparent dust collection barrel designed for a 100-day cleaning-free cycle, thereby significantly reducing clogging of the rear-end filter.
From a physical structure perspective, this bagless solution can keep the air ducts clear during a dust collection cycle that lasts for several months. Of course, limited by the current experience time, my machine is far from reaching the upper limit of the clearing cycle. But at least in recent intensive use, every dust collection and extraction seems crisp and thorough.
From DC01 introducing industrial cyclone separation technology into household vacuum cleaners in 1993, to today's Dyson smart sweeping and mopping robot redesigning the side brush and enabling the "Gemophobia Algorithm", it can be seen that Dyson's mechanical design always points to the same logic:
Rather than accepting the industry’s existing solutions by default, we go back to the source of the problem and re-examine every cleaning action to see if there is room for optimization.
This coincides with the slogan we once saw at the front desk of Dyson’s Singapore Technology Center:
As engineers, we have to see beyond existing technology and ask if there is a better way. (As engineers, we have to see beyond existing technology and ask if there is a better way.)
Always ask for "better solutions"
"At the end of the day, we are a group of problem solvers."
Twelve years ago, James Dyson, who was interviewed by Forbes, once explained the secret that allows Dyson engineers to maintain enthusiasm and creativity for their own products.
As a company founded by engineers and known for its engineering expertise, Dyson rarely attempts to define a new product category out of thin air. On the contrary, they are better at discovering unsolved problems in everyday things that are already commonplace, and then using unconstrained technical creativity to give their own answers.
In this era where make-do and make-do are everywhere, Dyson’s persistence in products is a kind of rare romance.
As an "old category in the new industry", sweeping and mopping robots have experienced more than ten years of iterative evolution. Navigation, obstacle avoidance, dust collection, and mopping almost all have highly standardized industry templates. We have also assumed that these mature solutions are easy enough to use——
Until Dyson brought a series of engineering reconstructions to re-challenge the compromises we are accustomed to.
If it were just to polish the mechanical structure to the extreme, it would still be the traditional Dyson we are familiar with. But in fact, as a challenger to the status quo, this "veteran" in the technology home appliance industry is also one step ahead in embracing cutting-edge technology.
Dyson chief engineer Jake Dyson once recalled in an interview that Dyson has always been very strong in mechanical engineering, motors, airflow and performance. Now, the addition of cameras and vision systems allows machines to further detect what they see, understand their environment, and act accordingly.
From this perspective, Dyson’s smart sweeping and mopping robot is just a window for observing the next stage of Dyson’s technology trends:
When powerful mechanical engineering is supported by perception and judgment, equipment also has the intelligence to solve problems independently - and intelligence has always been the most versatile ability.
The same "perception-judgment" mechanism can not only deal with household floors, but can also be used to identify hair quality, voice, oral environment, and even wider areas.
As a result, smart sweeping robots, CameraJet toothbrushes with cameras, and more new products with sensory capabilities are emerging. In the future, we shouldn’t be surprised if Dyson suddenly enters a new category.
Of course, even if you don’t consider the “expected future” part for the time being, the existing Dyson smart sweeping and mopping robot is already surprising enough.
For those who have pets or young children at home and are particularly sensitive to the cleanliness of the floor, or those who are particularly picky about the details of life, this product’s numerous engineering investments regardless of cost will eventually be transformed into an unspeakable experience in daily life.
After all, this is always the case with truly excellent engineering design: before it appeared, we were used to compromising with the status quo; but after it appeared, the set of standards established by it became our new baseline and daily routine.
Peng Haixing
AppSo Editor
Through Adversity to the Stars.
A total of 128 articles have been published
This article comes from the column
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