DJI has officially launched the ROMO 2 robot vacuum cleaner, incorporating navigation technology derived from its aerial drones alongside an adaptive robotic arm to address persistent cleaning blind spots. The automated unit is engineered for prolonged standalone operation, with an advanced base station capable of running for up to one year without manual maintenance. 

Drawing on DJI’s spatial awareness algorithms, the vacuum integrates a high-precision obstacle avoidance system capable of identifying objects as thin as 2 mm. This setup prevents entanglement with thin cables, manages low-profile carpets, and correctly maps transparent or reflective surfaces such as glass partitions and low-hanging mirrors. 

A primary upgrade is its LiDAR-guided articulated robotic arm, which features a 123-degree reach radius. The mechanical arm extends 7.8 cm farther than the previous generation, reaching up to 4.5 cm deep under low-clearance furniture. Furthermore, the arm automatically halts and restricts its sweeps when detecting wet spills to prevent liquid from smearing across hard floors. 

To traverse domestic obstacles, the unit employs dynamic robotic legs that scale single thresholds up to 4 cm and double steps up to 8.5 cm. Cleaning performance is driven by 36,000 Pa of suction power, supported by an automatic pressure-seal plate that concentrates airflow over carpeted surfaces. Operating noise is dampened by 32 sound-absorbing materials, allowing the device to run at a quiet 38 dB in silent mode. 

 The multi-function docking base includes a nanocrystalline anti-stain washboard, four high-pressure water jets, and a 16 mm waste-extraction duct, providing hands-free self-cleaning for 365 days. For privacy and data security, DJI plans to deliver an offline Local Data Mode update by late 2026. This firmware update will allow users to sever internet connectivity, prevent video and photographic telemetry from reaching external servers, and activate physical hardware switches to disable internal cameras and onboard microphones. 

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