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Dreame X60 Pro Ultra: New Robot Vacuum Enters Market with Obstacle Avoidance and Feature-Rich Design
๐Ÿ‡ฑ๐Ÿ‡น Lithuania /Technology

Dreame X60 Pro Ultra: New Robot Vacuum Enters Market with Obstacle Avoidance and Feature-Rich Design

From Delfi · () Lithuanian

Translated from Lithuanian, summarized and contextualized by DistantNews.

At a glance

News Sources not specified Context piece
  • The Dreame X60 Pro Ultra robot vacuum boasts 42,000 Pa suction power and advanced navigation with AI-powered cameras.
  • It features unique extendable cleaning arms and can overcome obstacles up to 10 cm high, improving edge and corner cleaning.
  • The device supports both dry and wet cleaning with rotating mop pads and aims to reduce hair tangling with its dual brush system.

The new Dreame X60 Pro Ultra robot vacuum enters the market with impressive specifications, including a powerful 42,000 Pa suction capability and advanced AI navigation.

One of its standout features is the "Dual UltraExtend Arm" system, which allows the side brush to extend up to 12 cm and the mop pad up to 18 cm. This design aims to tackle the common challenge of round robot vacuums struggling with tight corners and edges, ensuring a more thorough clean along walls and in difficult-to-reach areas.

The "ProLeap" system further enhances its obstacle-handling capabilities, enabling the robot to clear single-step obstacles up to 5.2 cm and combined two-step obstacles up to 10 cm. This is particularly useful for homes with varied floor heights or higher thresholds.

For cleaning performance, the X60 Pro Ultra utilizes a "HyperStream Detangling DuoBrush 2.0" system designed to collect dirt effectively while minimizing hair entanglement. It offers both dry vacuuming and wet mopping, with mop pads rotating at up to 280 rpm, promising to tackle even stubborn stains.

Navigation relies on "VersaLift DToF" technology, two AI-powered cameras, a 3D light system, and LED illumination. Dreame claims its "AI OmniSight System 3.0" can recognize over 320 object types and react to obstacles in 0.1 seconds. However, the article notes these are laboratory figures and real-world performance may vary.

DistantNews Editorial

Originally published by Delfi in Lithuanian. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.