Dreame VersaLift™ Explained

Open floor is usually the easiest part of a cleaning run. The harder part starts when the robot vacuum reaches the places where dust and hair tend to hide: under sofas, beds, cabinets, and other low furniture. These areas demand two things at once. The vacuum needs enough clearance to get in, and enough perception to keep moving accurately once it does. That is the challenge VersaLift™ is designed to solve.

On Dreame robot vacuums, VersaLift™ works closely with the broader perception logic behind OmniSight™. Together, they help the robot vacuum adapt when the cleaning environment changes from open rooms to tighter under-furniture spaces. In open areas, the vacuum relies on a raised sensor for wide, precise navigation. In lower spaces, it shifts to a different perception mode so cleaning can continue where fixed-height designs are more limited.

What is VersaLift™?

VersaLift™ is Dreame’s retractable DToF navigation system for robot vacuums.

It is designed to let the robot clean effectively in two very different environments:

• open spaces that benefit from wide-area navigation
• low-clearance spaces that require a slimmer body profile and a different perception method

This is what makes VersaLift™ different from a fixed-height LiDAR or top-mounted sensor design. A conventional robot vacuum may navigate well in open rooms, but once the top sensor reaches the underside of a bed or sofa, the robot may need to stop. VersaLift™ changes that by allowing the navigation system itself to adapt.

The easiest way to understand VersaLift™ is as a two-mode navigation system: raised for full-room precision and broad sensing coverage, retracted to lower the machine height for seamless under-furniture access, with camera-based perception and fill lights sustaining continuous navigation and obstacle avoidance in low-clearance zones. 

Why does VersaLift™ matter?

Navigation is not just about drawing a map. It is about maintaining control in the exact spaces where cleaning is often most difficult.

That is where VersaLift™ matters. It helps the robot continue cleaning in low areas that traditional cleaning tools struggle to reach and that fixed-height robot vacuums may access less effectively.

It also matters because under-furniture cleaning requires more than a low body. Once the top sensor retracts, the robot still needs to understand where it is, avoid obstacles, and keep moving without confusion. VersaLift™ is designed to support that transition smoothly, so the robot does not lose navigation confidence when the ceiling above it gets lower.

For homes with both open rooms and low-clearance furniture, this makes a real difference. The robot can use one navigation method for broad, efficient room cleaning and another for tighter, harder-to-reach spaces, all within the same cleaning run.

How does VersaLift™ work?

At a high level, VersaLift™ works by automatically changing how the robot vacuum perceives its environment based on the amount of space above it.

1. VersaLift™ raises the DToF sensor in open spaces

In open areas, VersaLift™ keeps the DToF sensor raised so the robot vacuum can scan the surroundings in 360 degrees without changing direction. This supports fast, accurate radar-based navigation and planning across larger areas.

With its 360-degree point cloud, the system is designed to retain the accurate and stable navigation performance associated with LiDAR-style planning while maintaining overall cleaning efficiency, outperforming mainstream rival products. It also delivers a 100% success rate of AI obstacle avoidance and a 100% success rate of AI obstacle circumventing.

In simple terms, when the space is open, VersaLift™ gives the robot vacuum a broader view and stronger navigation precision.

2. VersaLift™ retracts the DToF sensor in low spaces

When the vacuum approaches a lower area, VersaLift™ retracts the DToF sensor into the body so the robot can move into tighter spaces under sofas and beds.

On X60 series, the robot vacuum can enter spaces with a minimum height of 3.13 in (7.95 cm) when VersaLift™ navigation is enabled.

This lower-profile mode helps the robot vacuum reach more of the hidden floor area in the home instead of stopping at the furniture edge.

Note: When enabling VersaLift™ navigation for under-furniture cleaning, please confirm that the undersides and edges of furniture are flat without protrusions, to avoid scratching the robot vacuum with nearly body-level low clearance. 

3. VersaLift™ switches to active binocular navigation and obstacle avoidance

Once the DToF sensor retracts, the robot vacuum does not stop perceiving the space. Instead, VersaLift™ shifts to active binocular navigation and obstacle avoidance using two AI cameras and LED illumination.

The robot vacuum turns on auxiliary lights, captures RGB images frame by frame, and extracts visual features as it moves. This helps build a 3D perception of the low-clearance area so the robot can continue cleaning with spatial awareness even when the top sensor is no longer raised.

In other words, VersaLift™ does not just make the vacuum shorter. It also changes how the device sees.

4. VersaLift™ uses multi-sensor navigation in low spaces

To handle low-clearance cleaning, VersaLift™ works with a multi-sensor approach that combines:

• vision
• odometry
• IMU
• Dreame’s self-developed front-view VSLAM navigation algorithm

This system adopts Dreame's self-developed front-view VSLAM navigation algorithm, uses VIO technology for mapping and brings drone-style positioning logic into the robot vacuum cleaning process. It integrates vision, odometry and IMU multi-sensor fusion to ensure smooth and confusion-free path planning in narrow low-clearance environments.

5. VersaLift™ identifies low spaces as a distinct cleaning environment

Another important part of VersaLift™ is that it recognizes low-clearance areas as a specific type of cleaning zone.

That means the robot vacuum can intelligently identify typical low spaces such as bed bases and treat them as independent cleaning zones, forming differentiated customized cleaning strategies that set it apart from ordinary robot vacuums, enabling more targeted cleaning behavior in areas that are often difficult to reach and easy to miss.

6. VersaLift™ is built for real low-space cleaning performance

The purpose of VersaLift™ is dependable cleaning in hard-to-reach spaces, not just mechanical retraction.

In testing, VersaLift™ achieved:

• 100% cleaning success in low spaces
• 100% positioning accuracy in low spaces
• 100% obstacle avoidance under beds

These results reflect the value of combining retractable hardware, AI cameras, lighting, and multi-sensor perception into one adaptive low-profile navigation system.

Where does VersaLift™ help most?

VersaLift™ is especially useful in homes where hidden floor space matters.

Under beds

Beds often create large low-clearance zones where dust and hair collect over time. VersaLift™ helps the robot retract its sensor, enter the space, and continue cleaning with 3D visual perception.

Under sofas

Sofas create another common dead zone for cleaning. With VersaLift™, the robot can navigate more nimbly under low sofas where traditional cleaning tools are difficult to use.

Under cabinets and other low furniture

Cabinets, sideboards, and storage furniture often leave just enough room for debris to collect but not enough room for a conventional cleaning approach to work well. VersaLift™ helps the robot reach more of that space.

Homes with both open areas and low-clearance zones

This is where VersaLift™ is most valuable. A robot may need broad, precise navigation in open rooms, then low-profile adaptive navigation a few moments later under furniture. VersaLift™ is designed for that shift.

How does VersaLift™ fit into the full Dreame cleaning experience?

On Dreame robot vacuums, VersaLift™ works as part of a broader system that connects navigation, obstacle handling, mobility, suction, and edge cleaning into more complete automated floor care.

For example, the Dreame L60 Pro Ultra Robot Vacuum combines liftable LiDAR navigation for 3.5 in (8.9 cm) low-profile cleaning with ProLeap™ robotic legs that cross obstacles up to 3.47 in (8.8 cm), detection of 280+ object types, 104°F (40°C) hot-water mopping, and an extendable mop and side brush for corner-to-crevice cleaning.

The Dreame X60 Max Ultra Complete Robot Vacuum combines a 3.13 in (7.95 cm) slim design for under-furniture cleaning with recognition of 280+ objects, proactive light for darker spaces, obstacle crossing up to 3.47 in (8.8 cm), 35,000Pa Vormax™ Suction, and 212°F (100°C) mop self-cleaning.

These examples show why VersaLift™ matters. Under-furniture access is more valuable when the robot can also detect clutter, cross transitions, maintain strong pickup, and keep cleaning smoothly through different parts of the home.

Which Dreame products feature VersaLift™?

VersaLift™ appears on select Dreame robot vacuums.

Because product availability, specifications, and feature combinations can vary by model, region, and release cycle, the best way to confirm whether a current Dreame product includes VersaLift™ is to check the latest product page and product specifications directly on the Dreame website.

When comparing models, it also helps to look at VersaLift™ alongside related systems such as obstacle crossing, object detection, suction, and edge cleaning. That gives a clearer picture of how each robot vacuum is designed for different furniture layouts, floor plans, and cleaning priorities.

Conclusion

VersaLift™ is Dreame’s retractable DToF navigation technology for robot vacuums. It is designed to help the robot navigate with precision in open rooms, then retract and continue cleaning in lower spaces under furniture.

The simplest way to understand VersaLift™ is as an adaptive navigation system built for real homes. It combines raised 360-degree scanning, retracted low-profile access, AI binocular vision, LED-assisted perception, and multi-sensor positioning to help the robot reach more of the floor with confidence.