{"id":19118,"date":"2026-10-12T07:54:43","date_gmt":"2026-10-12T07:54:43","guid":{"rendered":"https:\/\/gausium.com\/2026\/10\/12\/cleaning-robot-performance-test-demonstration\/"},"modified":"2026-10-12T07:58:51","modified_gmt":"2026-10-12T07:58:51","slug":"cleaning-robot-performance-test-demonstration","status":"publish","type":"post","link":"https:\/\/gausium.com\/ko\/2026\/10\/12\/cleaning-robot-performance-test-demonstration\/","title":{"rendered":"6 Things to Measure in a Cleaning Robot Performance Test"},"content":{"rendered":"

A cleaning robot demonstration can look impressive and still prove very little. A robot gliding across an empty, freshly cleaned floor shows that it moves. It does not show whether it will clean your floor, on your schedule, around your people, without someone following it around.<\/span><\/p>\n

A useful cleaning robot performance test measures the things that decide day-to-day results. Six measures matter most: coverage, residual water, stain removal, edges, obstacle response and staff intervention. Each one can be observed during a single demonstration, and each one leaves evidence you can take back to your team.<\/span><\/p>\n

A Demo Should Prove the Robot Works on Your Floor<\/span><\/h2>\n

The value of a demonstration depends on the route. The best test area is representative of your site and includes its difficult parts: the narrowest aisle, a tight turn, walls and shelf bases, a section with real foot traffic, and the kind of soil your team actually deals with.<\/span><\/p>\n

It also helps to note how long your current process takes on the same area. That baseline turns a demonstration from “the floor looks cleaner” into a comparison you can put numbers on.<\/span><\/p>\n

Setup does not have to eat into the time. With<\/span>\u00a0<\/a><\/span>AI Smart Deployment<\/a><\/span>, a Gausium robot maps a 2,000 m\u00b2 (21,500 ft\u00b2) area in about 30 minutes, with no location tags or specialist engineer.<\/span><\/sup><\/p>\n

<\/span><\/p>\n

\"6<\/figure>\n

The Six-Point Demonstration Scorecard<\/span><\/h2>\n\n\n\n\n\n\n\n\n
\n

Test<\/span><\/p>\n<\/td>\n

\n

What to measure<\/span><\/p>\n<\/td>\n

\n

What Gausium robots do<\/span><\/p>\n<\/td>\n

\n

Evidence you get<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Coverage<\/span><\/p>\n<\/td>\n

\n

Planned area versus area actually cleaned<\/span><\/p>\n<\/td>\n

\n

Follow the mapped route and planning mode for each zone<\/span><\/p>\n<\/td>\n

\n

Task record showing area completed and time taken<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Residual water<\/span><\/p>\n<\/td>\n

\n

Wet strips, streaks and standing water after the pass<\/span><\/p>\n<\/td>\n

\n

Recover water through the squeegee system; models such as Phantas Extra also detect residual water<\/span><\/p>\n

<\/sup><\/td>\n

\n

Dry-floor inspection of the test route<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Stain removal<\/span><\/p>\n<\/td>\n

\n

Target soil before and after cleaning<\/span><\/p>\n<\/td>\n

\n

Detect waste and stains and clean them on the spot<\/span><\/p>\n<\/td>\n

\n

Before-and-after photos of fixed test points<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Edges<\/span><\/p>\n<\/td>\n

\n

Uncleaned strip along walls, shelf bases and corners<\/span><\/p>\n<\/td>\n

\n

Side brushes, close wall-following and edge-first path planning<\/span><\/p>\n<\/td>\n

\n

Edge measurements and a list of touch-up spots<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Obstacle response<\/span><\/p>\n<\/td>\n

\n

Behavior around people, carts and temporary objects<\/span><\/p>\n<\/td>\n

\n

Identify obstacles and waste, then avoid or reroute<\/span><\/p>\n<\/td>\n

\n

Observed stops, reroutes and recovery time<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Staff intervention<\/span><\/p>\n<\/td>\n

\n

Every time someone has to step in, and for how long<\/span><\/p>\n<\/td>\n

\n

Recharge at a dock, resupply at a workstation, alert staff through the app<\/span><\/p>\n<\/td>\n

\n

Intervention log with cause and minutes<\/span><\/p>\n<\/td>\n<\/tr>\n<\/table>\n

What Each Test Reveals<\/span><\/h2>\n

Coverage Shows Whether the Whole Route Got Cleaned<\/span><\/h3>\n

The first question is simple: did the robot clean everything it was supposed to? Compare the planned zone with what was actually covered, and note any skipped patches.<\/span><\/p>\n

Gausium robots offer five path-planning modes, according to Gausium’s<\/span>\u00a0<\/a><\/span>navigation technology<\/a><\/span>, and a site can be divided into zones with a different mode for each. When the demonstration ends, the task record shows the area completed and the time it took, so coverage can be measured rather than eyeballed.<\/span><\/p>\n

Residual Water Tells You If the Floor Is Safe to Walk On<\/span><\/h3>\n

A scrubber that cleans well but leaves the floor wet creates a new problem. Walk the route after the pass and look for damp strips, streaks and standing water, especially near walls and at turns.<\/span><\/p>\n

Phantas<\/a><\/span>\u00a0Extra, for example, uses smart residual water detection to keep water traces to a minimum. On models such as<\/span>\u00a0<\/a><\/span>Mira<\/a><\/span>\u00a0and<\/span>\u00a0<\/a><\/span>Marvel<\/a><\/span>, a self-cleaning wastewater tank reduces manual maintenance after each task.<\/span><\/sup><\/p>\n

Stain Removal Is Where Spot Cleaning Earns Its Keep<\/span><\/h3>\n

Mark a few fixed test points with the soil your site actually sees, then photograph them before and after. This shows whether the robot removes the dirt or simply passes over it.<\/span><\/p>\n

Gausium\u2019s Auto Spot Cleaning mode scans the floor continuously and cleans wherever it detects waste or stains.<\/span>\u00a0<\/a><\/span>Omnie<\/a><\/span>, for example, uses AI deep learning to identify and clean both dry and wet waste, while Phantas Extra adjusts its cleaning parameters for stubborn stains.<\/span><\/sup><\/p>\n

\"6<\/figure>\n

Edges Reveal How Much Touch-Up Is Left<\/span><\/h3>\n

After the robot finishes, check the walls, shelf bases and corners on the route. The width of any uncleaned strip, and the number of spots someone would need to finish by hand, show how much manual work the robot actually leaves behind.<\/span><\/p>\n

Phantas, for example, cleans right up to the edge at 0 cm, while Omnie and Marvel use dual side brushes for edge-to-edge coverage. In Drop & Go mode, a Gausium robot explores the boundary and cleans along the edges first, then completes full coverage, as Gausium CTO Dr. Baoxing Qin explained in<\/span>\u00a0<\/a><\/span>a recent webinar<\/a><\/span>.<\/span><\/sup><\/p>\n

Obstacle Response Decides Whether It Can Run During Opening Hours<\/span><\/h3>\n

If the robot will work while people are around, test it while people are around. Walk across its path, park a cart in the aisle, leave a box on the floor, and watch whether it stops, waits or reroutes, and how quickly it gets back to work. If the robot will run through peak season, add the obstacles that season brings, such as promotional stacks, extra carts and temporary displays in the aisles.<\/span><\/p>\n

Gausium robots are trained on millions of real-world images and identify obstacles and waste with 99% accuracy. Models such as Omnie and Marvel also use 3D LiDAR and 360\u00b0 vision for busy public areas and shared forklift and pedestrian routes.<\/span><\/sup><\/p>\n

Every Intervention Counts Against Autonomy<\/span><\/h3>\n

The most revealing number in any cleaning robot demo is how often a person has to step in. Log every intervention, what caused it and how many minutes it took. A planned two-minute check is not the same as a twenty-minute recovery, so record them separately.<\/span><\/p>\n

Gausium robots are designed to keep this number low. When a robot finds an item too large to clean, it alerts the operator through the Gausium App instead of stalling. With a charging dock in place, charging runs automatically. With a workstation, depending on the model, water refill and wastewater discharge do too, so no one has to stand by during the task.<\/span><\/p>\n

If the robot will cover long or overnight shifts, include a full docking and resupply cycle in the demonstration, because that is what continuous operation depends on.<\/span><\/p>\n

Reading the Results in the Gausium App<\/span><\/h2>\n

The demonstration should end with real data, not a summary slide. Once the run is finished, the Gausium App shows the actual task record, including area covered, time taken, and consumables and machine status.<\/span><\/p>\n

Those same records are what facility teams and contract cleaners use day to day for scheduling and service reviews. When several robots work the same site, each one’s task record appears in the same Gausium App, so results can be compared robot by robot and zone by zone. Our guide to<\/span>\u00a0<\/a><\/span>cleaning robot performance reporting<\/a><\/span>\u00a0explains how teams put that data to work after deployment.<\/span><\/p>\n

It also helps to read the spec sheet alongside the results. Gausium specification pages list theoretical cleaning efficiency and note that actual performance varies with the application. The demonstration shows what that performance looks like on your floor.<\/span><\/p>\n

\"6<\/figure>\n

Which Gausium Robot to Put on Your Demo Route<\/span><\/h2>\n

A fair test starts with the right robot for the job. Choose the demo model by your core cleaning need.<\/span><\/p>\n

Wet scrubbing in mid-sized spaces<\/span><\/p>\n

Mira<\/a><\/span>\u00a0is ideal for spaces of about 800\u20132,000 m\u00b2 (8,600\u201321,500 ft\u00b2), such as<\/span>\u00a0<\/a><\/span>retail stores<\/a><\/span>, hotels and offices with narrow aisles and changing layouts.<\/span><\/p>\n

Heavy soil across large open floors<\/span>
<\/span>Marvel<\/a><\/span>\u00a0is ideal for large sites from 3,000 m\u00b2 (32,300 ft\u00b2) upward, such as<\/span>\u00a0<\/a><\/span>warehouses<\/a><\/span>, factories and underground garages.<\/span><\/sup><\/p>\n

Scrubbing in busy, high-traffic areas
<\/span>Omnie<\/a><\/span>\u00a0is ideal for sites from 800 m\u00b2 (8,600 ft\u00b2) upward, such as airports, metro stations and other<\/span>\u00a0<\/a><\/span>transportation hubs<\/a><\/span>, as well as busy supermarkets.<\/span><\/p>\n

Small spaces with both hard floor and low-pile carpet
<\/span>Phantas<\/a><\/span>\u00a0is ideal for spaces of about 100\u20131,500 m\u00b2 (1,100\u201316,000 ft\u00b2), such as<\/span>\u00a0<\/a><\/span>offices<\/a><\/span>, stores and pharmacies.<\/span><\/p>\n

Dry debris on industrial floors
<\/span>Beetle<\/a><\/span>\u00a0is ideal for warehouses, factories and indoor or outdoor industrial areas.<\/span><\/p>\n

Carpet vacuuming<\/span><\/p>\n

Vacuum 40<\/a><\/span>\u00a0is ideal for carpeted areas of any pile height, such as hotel corridors and office floors.<\/span><\/sup><\/p>\n

From Demonstration to Pilot<\/span><\/h2>\n

A demonstration narrows the choice. It shows, in a few hours, whether a robot can handle your floor, your soil and your traffic. A final decision on a larger rollout is best made after a multi-shift pilot, which shows how the robot performs across different days, traffic levels and staff.<\/span><\/p>\n

For facilities heading into the year-end peak, the pilot is the time to test what the busy season will demand: long shifts, overnight runs with no one standing by, and several robots working the site at the same time. It is far easier to confirm that before the peak than in the middle of it.<\/span><\/p>\n

Conclusion<\/span><\/h2>\n

The best cleaning robot demo leaves you with evidence, not just an impression. Measure coverage, residual water, stain removal, edges, obstacle response and staff intervention on a route that looks like your real site, and read the results from the robot’s own task record.<\/span><\/p>\n

Gausium can set up a demonstration on a representative route at your facility, with the robot matched to your core cleaning need.<\/span>\u00a0<\/a><\/span>Talk to a Gausium specialist<\/a><\/span>\u00a0to arrange a site demonstration.<\/span><\/p>\n

<\/span><\/p>\n

<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

A cleaning robot demonstration can look impressive and still prove very little. A robot gliding across an empty, freshly cleaned floor shows that it moves. It does not show whether it will clean your floor, on your schedule, around your people, without someone following it around. 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A robot gliding across an empty, freshly cleaned floor shows that it moves. It does not show whether it will clean your floor, on your schedule, around your people, without someone following it around. 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