Navigazione Intelligente ed Elusione degli Ostacoli
Robot che puntano soprattutto su telecamere, doppio laser o un braccio meccanico per identificare cavi, scarpe e bisogni degli animali e aggirarli, invece di limitarsi a mappare pareti e mobili.
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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 compatto con base Omni costruito attorno a TrueDetect 3D 3.0 e TrueMapping 2.0, capace di mappare 100 metri quadrati in circa sei minuti e di usare il rilevamento ostacoli 3D per identificare il disordine basso che sistemi a sensori più piatti tendono a non vedere.
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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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Il primo robot aspirapolvere prodotto in serie con un braccio meccanico pieghevole a cinque assi, che si dispiega per raccogliere piccoli oggetti, calzini, cavi, rifiuti leggeri, e spostarli fuori dal suo percorso, guidato dalla navigazione StarSight 2.0 con oltre 21.600 punti dati.
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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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Costruito attorno a una tripla matrice laser che scansiona a 360 gradi e monitora vicino al pavimento, permettendogli di pulire a pochi millimetri da pareti e gambe dei mobili pur cogliendo piccoli ostacoli bassi che un solo laser non noterebbe.
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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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Il modello di Proscenic incentrato sulla navigazione, con doppio sistema laser per l'evitamento ostacoli oltre a 8.000Pa di aspirazione e una stazione di autosvuotamento, rivolto a chi vuole una navigazione più affidabile rispetto a quanto offra il Q10 entry-level del marchio.
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Usa l'imaging 3D per percepire visivamente gli oggetti davanti a sé, invece di affidarsi solo a sensori d'urto o a una scansione laser piatta, pensato apposta per evitare che il robot si impigli in scarpe, ciotole per animali e altro disordine quotidiano.
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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.
Domande frequenti
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.