Navegación inteligente y detección de obstáculos
Robots que se apoyan sobre todo en cámaras, láseres dobles o un brazo mecánico para identificar cables, zapatos y accidentes de mascotas y esquivarlos, en lugar de limitarse a mapear paredes y muebles.
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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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Un robot compacto con base Omni construido en torno a TrueDetect 3D 3.0 y TrueMapping 2.0, capaz de mapear 100 metros cuadrados en unos seis minutos y usar detección de obstáculos en 3D para identificar desorden a ras de suelo que los sistemas de sensores más planos suelen pasar por alto.
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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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El primer robot aspirador producido en serie con un brazo mecánico plegable de cinco ejes, que se despliega para recoger objetos pequeños, calcetines, cables y basura ligera y apartarlos de su camino, guiado por la navegación StarSight 2.0 con más de 21600 puntos de datos.
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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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Construido en torno a un conjunto de tres láseres que escanea 360 grados y vigila muy cerca del suelo, lo que le permite limpiar a milímetros de paredes y patas de mueble mientras sigue detectando obstáculos pequeños y bajos que un único láser pasaría por alto.
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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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El modelo de Proscenic centrado en la navegación, con doble sistema láser para evitar obstáculos junto a 8000Pa de succión y una estación de autovaciado, dirigido a quien quiere una navegación más segura que la que ofrece el Q10 de entrada de la marca.
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Usa imágenes en 3D para percibir visualmente los objetos que tiene delante, en lugar de depender solo de sensores de golpe o de un escaneo láser plano, pensado específicamente para evitar que el robot se enrede con zapatos, comederos de mascotas y otro desorden cotidiano.
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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.