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  • Cleaning Solutions

Buyer’s Guide: How to Find the Right Autonomous Floor Cleaning Solution for Your Facility

August 21, 2023

The emergence of autonomous floor cleaning solutions signifies a groundbreaking leap forward for the landscape of facility management and maintenance. These robots are designed to handle the tedious task of floor cleaning, leaving your staff free to focus on more complex and valuable tasks.

However, a one-size-fits-all approach may not effectively address the specific cleaning requirements of each space. For example, a hospital requires different cleaning protocols than an office or a warehouse. To maximize their effectiveness, it is crucial to find the right autonomous floor cleaning solution that suit the unique needs of your facility.

With a growing array of options on the market, finding the right autonomous floor cleaning solution for your facility can be a daunting task. In this article, we’ll guide you through the steps to help you make an informed decision.

1. Research Potential Solution Providers

With a variety of autonomous floor cleaning solutions available in the market, research is crucial to finding the one that suits your facility’s requirements. You need to consider the reputation and reliability of the manufacturer or supplier, as well as any additional support or training they offer. 

Here are some essential factors to consider when seeking an autonomous floor cleaning solution:

  • Safety: Ensure that the robots have adequate safety features and qualifications to prevent accidents or damage. A robot that meets safety standards and regulations is less likely to pose risks and legal challenges.
  • Versatility: Ensure that the vendor’s robotic cleaner is capable of handling various floor types, such as hardwood, tile, vinyl, or carpeted surfaces. A versatile robot can adapt its cleaning methods and tools accordingly. 
  • Customizability: Look for a solution that allows customization to meet the specific needs and challenges of your facility. This could include adjustable cleaning modes, scheduling options, or the ability to define cleaning zones.
  • Cost-Effectiveness: Assess the overall cost-effectiveness of the solution, considering factors such as upfront investment, ongoing maintenance, consumables, and potential productivity gains. Compare different options to find the best value for your investment.
  • Scalability: Facilities may undergo changes or expansions over time. A customized solution can be designed with scalability in mind, making it easier to adapt to future changes without requiring a complete overhaul of the cleaning system. 
  • Training and Onboarding: Ask about the training and onboarding process for your staff. A good vendor should provide comprehensive training to ensure your team can effectively operate the robots.
  • Reputation and Reviews: Research the reputation and user reviews of the autonomous floor cleaning solution and the supplier. Feedback from other users can provide insights into the product’s performance, reliability, and customer satisfaction.

2. Assess Your Facility’s Floor Cleaning Needs

Before looking for an autonomous floor cleaning solution, it is essential to assess your facility’s cleaning needs. Start by assessing the size of the area to be cleaned. Consider factors such as the size and layout of the space, the types of flooring surfaces  (tile, carpet, hardwood), the level of foot traffic, and the presence of obstacles. Identify any specific cleaning challenges, such as high-traffic areas, hard-to-reach corners, or the need for specialized cleaning techniques.

Most solution providers offer to conduct a comprehensive site survey to aid you in making informed decisions. During the survey, a knowledgeable field technician will assess crucial factors such as your floor material composition and the dimensions of the space to be cleaned. By gathering these vital details, the technician can discern which models align best with the specific needs and requirements of your facility. This personalized approach ensures that you receive tailored recommendations suited to your unique environment.

A proficient provider of autonomous floor cleaning solutions would offer diverse models available to cater to a wide range of facility environments, including retail stores, hospitals, hotels, office buildings, etc. For instance, Gausium – a prominent brand that boasts a selection of 4 different cleaning robot models for various indoor floor maintenance requirements. Prospective buyers can initiate their purchasing deliberations by taking into account pivotal factors such as applicable floor types, productivity levels, turn-around widths, and more. 


Model Phantas Vacuum 40 Scrubber 50 Scrubber 75
Applicable Floor Type Hard floors, Low-pile Carpets  Carpets, Hard floors  Hard, water-resistant floors  Hard, water-resistant floors 
Cleaning Mode Scrubbing / Vacuuming

Sweeping / Mopping

Vacuuming / Sweeping


Scrubbing / Sweeping


Scrubbing / Sweeping

Mopping / Degreasing

Max. Cleaning Efficiency 700 m²/h

(7,535 ft²/h) 

1,200 m²/h

(12,916 ft²/h)

1,490 m²/h

(16,038 ft²/h) 

3,000 m²/h

(32,300 ft²/h) 

Min. Turn-around Width (Auto mode)  620 mm 

(24.4 in) 

1,100 mm 

(43 in) 

1,200 mm 

(47 in) 

2,000 mm 

(78.7 in) 

Recommended Facility Types Office Building, Retail store, Hotel, Hospital, School, etc. Hotel, Casino, Mosque, Museum, Office Building, Hospital, School, Factory, etc. Shopping center, Supermarket, Transportation hub, Office building, Hotel, Hospital, School, Sports Hall, etc.  Shopping center, Hypermarket, Transportation Hub, Underground parking garage, Factory, Warehouse, etc.

Table: Gausium Autonomous Floor Cleaning Solutions (1)

3. Arrange a Demo for In-depth Evaluation

Once you have identified a potential autonomous floor cleaning solution, it’s time to arrange a demo with your solution provider. A demo allows you to see the robot in action and assess its actual performance. This firsthand experience helps you understand how well it can clean your specific environment and whether it meets your cleaning standards. Here are key aspects to look for during the demonstration:

  • Navigation and Mapping: Observe how the robot navigates the environment. It should move smoothly, avoid obstacles, and demonstrate efficient mapping capabilities to cover the entire cleaning area.
  • Obstacle Detection and Handling: Check how the robot detects and responds to obstacles such as furniture, people, or unexpected objects. Ensure it can safely navigate around these obstacles without causing damage or interruptions.
  • Cleaning Efficiency: Assess the robot’s cleaning efficiency. Look for uniformity in cleaning patterns and coverage. It should effectively remove dirt, debris, and stains from various floor surfaces.
  • Adaptability to Floor Types: Test the robot’s performance on various floor types commonly found in your facility, such as tile, carpet, hardwood, and concrete. Ensure it can adjust cleaning settings accordingly.
  • Battery Life and Charging: Evaluate the robot’s battery life and how it manages recharging. It should be able to cover the designated cleaning area on a single charge or autonomously return to its charging station when the battery is low. 
  • User-Friendly Interface: Evaluate the ease of use of the control interface and any associated software. It should be intuitive for operators and facility managers to operate and program.
  • Data and Reporting: Assess the robot’s ability to collect and provide data and cleaning reports. This data can help you track cleaning performance, identify areas that require more attention, and optimize cleaning schedules.
  • Durability and Build Quality: Inspect the robot’s build quality and materials. It should be robust enough to withstand the demands of commercial or industrial cleaning environments.

In conclusion, finding the right autonomous floor cleaning solution for your facility involves careful research, assessment, and planning. By following these steps and conducting due diligence, you will be able to select a reliable solution that enhances your facility’s cleanliness, efficiency, and overall operational excellence.



(1) The information in this table is believed to be accurate as of the article’s publication date but is subject to change without notice. 


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