Roborock Qrevo 2 Review (2026): A New Budget Vacuum King?
First reported by Wired ·
This robot vacuum now cleans corners better than most, which means fewer missed spots in your home.
Roborock has launched the Qrevo 2 Pro, a new robot vacuum priced under $1,000 that offers strong performance for its cost. The vacuum boasts a 20,000 Pa motor, 200 RPM mopping speed, LiDar navigation, and a FlexiArm mop designed for edge cleaning. In reviews, it excelled at corner cleaning and navigating around large obstacles, and its quiet operation was noted. However, the Qrevo 2 Pro struggles to detect small objects like cords or cat toys, and its mopping performance on spills was mediocre, requiring multiple passes. It also had issues with some thresholds and shredding loose tissues rather than vacuuming them. Despite these drawbacks, it is considered a good option for daily cleaning and is available for around $800, with recent sales dipping to $500.
The Qrevo 2 Pro's FlexiArm mop and reversible side brush demonstrate a continued market push toward improved edge and corner cleaning, a persistent challenge for robot vacuums. While the 20,000 Pa motor and LiDar navigation are becoming standard, the focus on practical improvements like the articulated mop arm signals a maturing product category where incremental enhancements drive consumer choice. The AI's limited ability to detect small debris, however, highlights the gap between advanced navigation and true environmental awareness, suggesting that users will still need to prep their floors.
The $800 price point, with frequent sales down to $500, positions the Qrevo 2 Pro as a strong contender in the competitive budget-to-mid-range robot vacuum market. Its ability to rival established budget leaders like Eufy Omni C28 suggests a tightening race where brands are offering more sophisticated features, such as Matter support for smart home integration, at accessible price points. This trend benefits consumers by providing more capable cleaning solutions without a premium cost, though limitations in obstacle detection persist across the segment.
AI-written summary. May contain errors.