Ranking of Industrial Cleaning Robots in Russia

Hello! I’m Robert, founder of YaCu Robotics. We have been working with autonomous technologies for over 5 years. Our core product is the hardware-software suite “Driver,” which enables autonomous movement. It is used in our floor-cleaning robot (autonomous scrubber) Unit, which we develop and manufacture ourselves. This is a fully Russian-made product.

In this article, I would like to briefly explain what is happening in the Russian automated cleaning market and who the key players are. To make things clearer, I’ll start with the technical part — how robots actually move autonomously.

At first glance, it may seem like there are no major challenges here. We’ve all seen how home robot vacuum cleaners work, so it feels like industrial robots should operate in a similar way. Even now, clients come to us focusing on design or form factor, assuming that robot movement is already a solved problem and everything should “just work.”

Technological Challenges

Let’s break it down. 99% of robots on the market use SLAM (Simultaneous Localization and Mapping) for autonomous navigation. This means the robot is first driven around the environment, scanning it with a LiDAR, and then compares new scans with stored data to determine its position.

SLAM solves navigation and positioning tasks, but it has serious limitations:

1. Poor performance in open spaces where LiDAR cannot detect enough reference points.
2. Struggles in dynamic environments with people constantly moving around.
3. Weak performance in long corridors with flat walls (e.g., metro tunnels).
4. Accumulation of positional errors over time.

As you can see, everything revolves around LiDAR — but this is only part of the technology stack. There are also:

• 3D cameras for obstacle avoidance,
• robot kinematic models,
• inertial sensors (gyroscopes) that synchronize movement with the map.

All of this is highly complex.

Problems of Cleaning Robots from a Customer Perspective

In cleaning, when you invest millions into a robot, you expect it to perform like a human. But if you choose the wrong manufacturer, you may face:

• Unstable movement — robots hesitate, slow down, and operate inefficiently (sometimes under 800 m²/hour).
• Even with a full map, the robot may clean in small segments (~300 m²) due to SLAM limitations.
• If the robot loses orientation, it must be manually returned to a starting point.
• You have limited control over behavior — inefficient routing decisions are common.
• Navigation failures leading to getting lost or cleaning wrong areas.

About the Robots and Build Quality

This article reviews the TOP 6 cleaning robots available in Russia in 2025. It includes 3 Russian and 3 international manufacturers.

Chinese manufacturers typically excel in hardware quality due to large-scale production. However, their software (autonomous navigation) is often weaker, and many brands use the same underlying “brain.”

Ranking of Cleaning Robots in Russia in 2025

International Models

Conclusion