DJI’s Romo vacuum

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Drone Tech Meets Floor Care

DJI has leveraged its “omnidirectional obstacle sensing” system — a staple in its aerial drones — to help the Romo vacuums navigate homes with precision. The combination of a binocular fisheye vision sensor, three wide-angle laser sensors, and a machine learning perception algorithm allows the Romo to detect and avoid objects as small as 2mm.

Front view of a DJI Romo vacuum cleaner equipped with omnidirectional obstacle sensing, combining binocular fisheye vision, wide-angle laser sensors, and AI to detect objects as small as 2mm.
DJI’s Romo vacuum uses drone-grade omnidirectional obstacle sensing for ultra-precise home navigation. 

The vacuums adjust their cleaning strategy based on what they detect — working around cords or furniture, while steering clear of socks or pet accidents. They can also slow down when approaching lightweight debris, like spilled pet food, to avoid scattering particles while increasing suction to collect them efficiently.

DJI Romo vacuum navigating around household obstacles, avoiding cords and pet accidents, slowing near lightweight debris like pet food to prevent scattering, and boosting suction for efficient cleanup.

Performance and Cleaning Features

  • Docking Station: Empties, cleans, refills, and fully charges the vacuum in about 2.5 hours.
  • Suction Power: Up to 25,000Pa, the highest official number Vacuum Wars has tracked to date.
  • Brush System: Anti-tangle double roller brush and two extendable side brushes for edge and corner cleaning.
  • Mopping System: Dual spinning mop pads that lift when crossing carpets; the Romo P includes an additional compartment for specialized cleaning solutions, such as antibacterial or degreasing agents for targeted rooms.

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