Navigation

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.

A robot vacuum does not clean effectively just by moving through a room. It needs to understand its surroundings, recognize obstacles accurately, respond quickly to change, and adjust its path without losing efficiency. OmniSight™ is designed to support that intelligence layer. What is OmniSight™? OmniSight™ is Dreame's all-around navigation and obstacle-avoidance system for robot vacuums. It combines visual perception, 3D depth awareness, and real-time route planning in a 360-degree perception-based navigation and avoidance framework. In simple terms, OmniSight™ helps the robot vacuum perceive more of the home and navigate it more intelligently. It is designed to do more than detect walls and follow a basic route. OmniSight™ helps the robot vacuum interpret obstacle type, obstacle position, floor-level irregularities, and real-time path changes during the cleaning run. Why does OmniSight™ matter? That matters because a real home is rarely an empty test environment. A robot vacuum may need to move around cables, card-sized objects, transparent bags, furniture legs, pet bowls, shoes, scales, and low furniture, all while maintaining cleaning coverage and avoiding unnecessary hesitation. OmniSight™ is built for that more demanding level of perception. Obstacle avoidance is only one part of intelligent cleaning. The larger value lies in maintaining stable, efficient operation in homes where clutter, furniture, and floor conditions change from one room to the next. OmniSight™ is designed to help the robot vacuum respond more intelligently to compact layouts, temporary obstacles, and varied object types without turning every run into a stop-and-go process. Better perception also improves cleaning efficiency by reducing hesitation, unnecessary detours, and misjudged routing that can waste time, battery, and floor coverage. Precision matters as well. Different obstacles require different responses. OmniSight™ supports more refined navigation by helping the robot distinguish between item types, keep a safer distance from higher-risk objects, and clean more closely around safer ones. The result is more controlled and more deliberate movement through real household environments. How does OmniSight™ work? At a high level, OmniSight™ combines binocular AI vision, 3D depth perception, and high-speed route planning so the robot vacuum can identify obstacles and adjust quickly during cleaning. 1. OmniSight™ uses binocular AI vision to read the space OmniSight™ uses two 120° wide-angle, high-precision AI cameras designed to mimic human visual perception. These cameras do more than capture a flat image. They help the vacuum interpret object position and spatial depth with greater accuracy. That binocular structure matters because it allows the device to read obstacles as part of a three-dimensional environment rather than treating them as simple shapes in a forward path. 2. OmniSight™ captures 3D depth information Beyond visual recognition, OmniSight™ captures 3D depth information so the robot can respond more accurately to floor-level changes and object shapes. This includes the ability to recognize subtle surface variation, including ground bumps as small as 0.39 in (10 mm). That additional depth awareness helps the robot react more precisely in spaces where low-profile objects, uneven surfaces, or small floor transitions can affect movement. 3. OmniSight™ supports faster route planning in real time Homes are dynamic. A bag may be left on the floor after the map was created. A chair may shift. A pet may move into the cleaning path. To handle those changes, OmniSight™ adopts an autonomous-driving-level planning algorithm trained on extensive trajectory data. It supports a 0.1-second* response to temporary obstacles and improves on-the-fly navigation efficiency by 200%. That faster response helps reduce unnecessary pauses, detours, and wasted movement during the run. 4. OmniSight™ identifies and avoids a wide range of household objects OmniSight™ supports obstacle avoidance for up to 280+* object types. It can identify smaller items such as cards and cables for close-range bypass while keeping safer distance from larger objects such as sofas. It is also designed to detect more difficult obstacles, including flat paper sheets and transparent plastic bags. This broader recognition helps the robot move more smoothly through everyday clutter without applying the same avoidance logic to every object it encounters. 5. OmniSight™ balances cleaning coverage and obstacle safety OmniSight™ is designed to balance cleaning reach and operational safety through object-specific path logic. It can keep a safer distance from higher-risk items such as cables and soft fabric while cleaning more closely around lower-risk objects such as shoes and electronic scales. That targeted strategy helps preserve cleaning coverage without making the robot overly cautious in spaces where closer cleaning is still appropriate. 6. OmniSight™ uses light to improve perception in dim spaces OmniSight™ includes an automatic LED light that activates in dim conditions. This helps the robot detect dust, hair, debris, and hidden obstacles under beds, sofas, and in dark corners more accurately. That low-light support helps reduce object misidentification and improves cleaning confidence in spaces where visibility is limited. *0.1s, 280: Based on our in-house lab data. Actual performance may vary.*All data shown above are based on our in-house lab tests. Actual performance may vary.  Where does OmniSight™ help most? OmniSight™ is especially useful in homes where the environment changes from room to room or from one day to the next. Homes with cables, cards, bags, and everyday clutter A floor is rarely completely clear. Chargers, paper, packaging, socks, toys, bowls, and small loose items can all interrupt a cleaning run. OmniSight™ helps the robot vacuum recognize a wider range of these objects and respond more appropriately.  Pet homes Pet homes are often more dynamic. Bowls may shift, toys may move, and pet-related clutter may appear in different places between runs. A perception system that reacts quickly and distinguishes between object types supports smoother daily cleaning in that environment.  Low-light spaces Under-furniture areas and darker corners are more difficult for a robot vacuum to interpret accurately. The LED-assisted side of OmniSight™ helps support more dependable cleaning in those harder-to-see areas.  Homes with dense furniture layouts Tighter layouts require more than basic straight-line navigation. OmniSight™ helps the robot move around chairs, sofas, tables, and floor-level obstacles without losing cleaning rhythm.  How does OmniSight™ fit into the full Dreame cleaning experience? On Dreame robot vacuums, OmniSight™ is part of the system that helps all the other cleaning technologies work more effectively in real conditions. For example, the Dreame X60 Max Ultra Complete Robot Vacuum combines AI-enhanced perception with recognition of 280+ object types, proactive light for darker spaces, a 3.13 in (7.95 cm) slim design for under-furniture cleaning, obstacle crossing up to 3.47 in (8.8 cm), 35,000Pa Vormax™ Suction, and 212°F (100°C) mop self-cleaning. That combination shows why OmniSight™ matters. Strong suction is more useful when the robot can navigate clutter confidently. Under-furniture cleaning is more useful when the robot can still perceive obstacles in dim spaces. Obstacle crossing is more useful when the robot can identify what it is approaching and choose a better route in real time. In that sense, OmniSight™ is not just a navigation feature. It is part of the intelligence layer that helps the robot translate hardware capability into real-world cleaning performance. Which Dreame products feature OmniSight™? OmniSight™ 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 OmniSight™ is to check the latest product page and product specifications directly on the Dreame website. When comparing models, it also helps to look at OmniSight™ alongside related systems such as low-profile navigation, obstacle crossing, suction, and self-cleaning. That gives a clearer picture of how each robot vacuum is designed for different home layouts and cleaning expectations. Conclusion OmniSight™, Dreame’s AI-enhanced 360° perception system for robot vacuums, integrates environmental perception, intelligent route planning and full cleaning coverage. Beyond simple obstacle avoidance, it empowers robot vacuums to make smarter movement decisions tailored to real household needs, turning hardware capabilities into practical cleaning performance.