Best Robot Vacuum for 2020: Nieto, iRobot Roomba, Electrolux, Yufi and more


A house that cleaned itself was once the stuff of science fiction. However now, these machines have become reality. In fact they are more than this. Today’s robot vacuum is more advanced than before. They claim arrays of sophisticated sensors, lasers, CPUs Even AI-enhanced software. The fact that these robots are useful devices You keep the house nice and tidy.

Living the robot vacuum dream can set you back a healthy pile of cash, some costing as much as four figures. While you do not need to spend that much, you gain a lot in the bargain. Contains Multiple Room and Floor Mapping, Self-emptying dust bins, Powerful suction and Thoughtful Hardware.

Despite all this sophistication, however, none of these machines can actually replace a mop.


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In order to select the best robot vacuum, I designed 12 suction cleaners to perform 120 hours (which is a lot of time) of torture-testing, with suction power, the ability to perform on carpets and hard floors, and each How well it has performed during. Each cleaning cycle. Among them are brand new models that have recently launched, with many online retailers facing flagship models and compelling options. I’ve excluded older models that probably won’t be sold for very long. I update this list periodically.

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If someone asks you to give a blank check and asks you to buy the best robot vacuum, it is for getting the bot. That said, the iRobot Roomba S9 Plus is priced at $ 1,099. However, it performs extremely dangerous vacuum suction and superb dirt and dust removal.

On hardwood floors this Roomba picked up an average of 93% of our test sand, the highest amount in our test group, but it struggled with a little cleaning sand from low-pile carpets and area rugs, leading to an above average dust And sand yielded sand. 28%.

That said, the Roomba Robot Khali removed an average of 71% of the sand from our mid-pile carpet while vacuuming. Again, this is the best result we saw on this specific test. This test group also cleaned more dog hair, pet dandruff and allergies than any vacuum, and mapped bot navigates and many rooms and floors. iRobot has updated its app so that you can designate “zones out”, which you want the S9 Plus to avoid during cleaning. The app also lets you use voice commands to quickly clean a room using Alexa or Google Voice Assistant.

The robot also entered our test room in an average time of as little as 25 minutes. You can also link the S9 Plus to the Roomba app and your home Wi-Fi. The best of all is the Roomba S9 Plus’ CleanBase docking station. The dock charges the robot’s battery and empties its dustbin automatically, making cleaning even easier and saving you from worrying about battery life. Now it is convenient. Read our first impressions of the Roomba S9 Plus.

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For about half the price of the Roomba S9 Plus, the dirt, dust and filth of the $ 550 Neato D7 was nearly empty, as well as making it the best robot vacuum at a moderate price. On average this robot cleaner carried a larger amount of sand (36%) on carpets than on low-pile carpets and rumba.

This automatic vacuum cleaner narrowly beat the S9 Plus for cleaning power on hardwood bare floors, plus, we collected an average of 95% of the sand laid down. Empty clean dirt, dust, and sand from midile rugs are effectively reduced, although a pickup average of 47% when cleaning.

Although Nieto can’t counter the rumba’s persistence in removing pet’s hair or emptying its own dust bin, the D7 navigates around furniture more efficiently yet the smart robot vacuum comes with built-in LIDAR laser navigation mapping Covers more ground thanks to. You can also control the cleaning robot using the Neato app as a remote control, as well as link it to Amazon Alexa and Google Assistant. You can also limit the application to cleaning areas of your home.

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Here is a robot vacuum that proves that you don’t have to blow your budget to buy a solid robot vacuum cleaner. Even though the Robovac 11S Max costs just $ 16 (and it’s cheaper), it cleans the floor effectively. This is especially true when cleaning bare hardwood floors.

It managed to extract an average of 71% of our test sand from this type of surface. The bot did not work well as cleaning carpets, earning a sand-pickup average of 21% and 27% on low-pile and mid-pile, respectively.

And thanks to this vacuum’s basic navigation system, our test room took more than an hour to negotiate. As far as time goes, that is a lot. Nevertheless, Yuffie wisely used his runtime. The vacuum covered the space well, cleaning up and leaving almost no spots. Ufee is also self-charged, so again, there is no need to worry about battery life or the factor that is in overall cleaning time. This is the best robot vacuum for the price. Read more.

How do we test robot spaces

Our method of evaluating robot vacuoles is straightforward, yet gruesome. There are two types of tests we run. The first test is to find out How well does a robot cover the floor while cleaning. We built, for this purpose, an industry-standard test chamber designated by the International Electrotechnical Commission. The IEC is an international standards body responsible for managing robotic vacuum testing processes for vacuum manufacturers.

Our test room encounters which robots run the vacuum in the real world.

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Inside this room are objects designed to overcome specific obstacles, which clean up a robot’s empty encounters for navigation. These barriers include wall ledges, table and chair legs, sofas and other furniture, and so on, plus bare tile and hardwood floors, as well as carpet.

Here is a coverage photo of the iRobot Roomba S9 Plus as it passes through our test room. You can see the Roomba S9 covering the floor well, except for a small section in the center (left, below).

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We mount LED lights on top of each vacuum cleaner. The illumination dimensions correspond to the measured nozzle width of each particular robot vacuum we tested.


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As the robots enter the room during cleaning, a camera overhead captures the long-exposure image of the entire room in low light. Then that photo would have a light mark, created by LEDs, which reflected the exact areas where the robot traveled (and its nozzle position) during its runtime. We can also see areas of the floor where the vacuum has been missed or stuck.

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This is a coverage pattern created by Neato D7. Its speed through our test room was very systematic, logical and effective.

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You can see the navigation results of all the robot vacancies in our test group in the gallery below.

The second type of test shows how much physical debris a vacuum can pick up from the floor. To mimic dirt of small particle size, we play a mixture of sand and landscaping sand. For large particulate soils, we use grains without black rice. The robots run on three types of flooring (low-pile carpet, medium-pile carpet, and hardwood bare floor) in straight line mode.

We test robotic vacuoles on three types of floor surfaces.

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We also control for the specific nozzle width of each vacuum. We constructed an adjustable device to soil our test floors. This allows us to lay a strip of precise area of ​​soil to match the nozzle dimensions for each robot. The mass of the soil is not chosen at random. We measure a proportional amount that relates to the type of floor material, debris, as well as the nozzle width of each vacuum.

Our custom-built tools allow us to match the soil area to the width of the nozzle of the robot vacuum.

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We conduct three cleaning runs (at a minimum) on each floor type. We also do a separate cleaning test with sand and rice. It comes for at least 18 tests per robot. We weigh the robot’s dust bin before and after each run. From there we can calculate the percentage of debris pickup for each cleaning run and a machine manages to extract the average amount of soil. Additionally we run enriched (visual) pet hair tests for each robot on all three variants.

We drive robot vacuums in a straight line during debris pickup tests.

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The chart below shows fine particle cleaning performance data for all the robot spaces we tested. This should give you a very good idea about the performance of their cleaning on different types of floor surfaces. Our rice-based, medium-sized particle test did not show enough difference between each cleaner, which says that they can handle all larger particles without trouble. To remove fur for pet owners, we did justice anecdotally.

Percent soil removed

Nito Boatwack D6 Connected

Legend:

Low-heap sand
Hardwood sand
Medium-pile sand

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Listed results are the average percentage of total material removed from the test surface

Want more robot vacuum options? In addition to the models listed above here we have given a list of other robot vacancies tested.

More vacuum advice and recommendations

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