Slimme navigatie en obstakelontwijking
Robots die het meest leunen op camera's, dubbele lasers of een mechanische arm om kabels, schoenen en huisdierongelukjes te herkennen en te omzeilen, in plaats van alleen muren en meubels in kaart te brengen.
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Samsung's Jet Bot AI+ combines a 3D sensor with Intel-developed AI to detect household items and avoid them during precision mapping.
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Xiaomi's X20+ uses LDS laser navigation plus S-Cross structured-light to detect low obstacles even in dim rooms during cleaning.
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Een compacte Omni-dock robot gebouwd rond TrueDetect 3D 3.0 en TrueMapping 2.0, die 100 vierkante meter in ongeveer zes minuten in kaart brengt en met 3D-obstakelherkenning laaghangende rommel signaleert die plattere sensorsystemen vaak missen.
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eufy's X10 Pro Omni detects over 100 object types using AI.See obstacle avoidance, handling cables and toys while mapping and mopping.
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HomeRun series uses cameras and D-ToF laser sensors for autonomous obstacle detection and navigation
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Multiple models including 360 Vis Nav and Spot+Scrub AI use cameras and LiDAR for precise obstacle recognition
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iRobot's Roomba Combo j9+ uses on-board camera and AI to recognize and steer around pet waste, cables, shoes, and household clutter during cleaning.
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LG's CordZero combines LiDAR, RGB camera, and 3D sensor for precise room mapping and obstacle detection along its cleaning route.
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V12 uses DuoDetect AI 3D obstacle detection with structured light 3D scanning at 5mm accuracy
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S10 and S20 models use AI-powered cameras to identify 100 obstacle types including cables, socks, and pet waste
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Dreame's L20 Ultra uses 3D structured-light and AI to recognize about 55 obstacle types, adjusting its cleaning path to avoid them.
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De eerste in massa geproduceerde robotstofzuiger met een vijf-assige inklapbare mechanische arm, die uitklapt om kleine voorwerpen, sokken, kabels en licht afval op te pakken en uit zijn pad te halen, geleid door StarSight 2.0-navigatie met meer dan 21.600 datapunten.
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RCV 5 combines LiDAR, dual-laser system, and AI camera for precise flat obstacle avoidance
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Lucy series vacuum uses dual 1080P cameras and depth sensors for AI obstacle avoidance, detecting objects as small as 1 inch
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Z60 Ultra detects and avoids 200+ object types with dual-laser 3D mapping and RGB camera.
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Shark's AI Ultra combines 360-degree LiDAR mapping with camera-based NeuroNav obstacle detection to browse around furniture and cords intelligently.
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Gebouwd rond een trio lasers dat 360 graden scant en de vloer van dichtbij in de gaten houdt, waardoor hij tot op millimeters van muren en meubelpoten kan schoonmaken terwijl hij kleine, laaghangende obstakels blijft opmerken die één enkele laser zou missen.
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Tapo's RV30 Max Plus combines LiDAR mapping with IMU sensors to browse homes and avoid obstacles like furniture and cords.
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Proscenics op navigatie gerichte model, met een dubbel lasersysteem voor obstakelvermijding naast 8.000Pa zuigkracht en een zelflegend station, gericht op kopers die meer zekerheid in navigatie willen dan de instapmodel Q10 van het merk biedt.
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Gebruikt 3D-beeldvorming om voorwerpen visueel waar te nemen in plaats van alleen te vertrouwen op botssensoren of een platte laserscan, specifiek gebouwd om te voorkomen dat de robot verstrikt raakt in schoenen, voerbakjes en andere alledaagse rommel.
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E20 Plus features DuoDetect AI 3D obstacle avoidance using dual-line laser for precise small-object detection
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X-Plorer 120 AI uses laser and camera tech to detect objects as small as 2 centimeters.
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Conga 7090 IA features dual cameras and AI to detect and recognize 200+ household objects for obstacle avoidance
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Matic's robot vacuum uses only RGB cameras and an on-board Nvidia Jetson Orin chip, processing everything locally without relying on LiDAR.
Frequently asked questions
How do these robots handle small objects like cables or socks?
Many models use AI cameras and 3D sensors to recognize and steer around these items. Some advanced options even feature a mechanical arm that can pick up small objects like socks and cables to move them out of the cleaning path.
Can these vacuums navigate effectively in dark rooms?
Yes. Certain models use structured light technology to detect low obstacles even when lighting is dim. Others combine LiDAR with cameras to maintain precise mapping and navigation.
What kind of objects can the AI actually identify?
High-end models can recognize over 100 different object types, including pet waste, shoes, and toys. This allows them to adjust their cleaning paths to avoid specific types of household clutter.
How do the sensors work to prevent collisions?
These robots use a variety of technologies such as 3D scanning, LiDAR, and RGB cameras. Some use structured light with high accuracy to identify low-lying obstacles that standard mapping might miss.