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Discover reviews on "dreame roboticmower a1" based on Reddit discussions and experiences.

Last updated: March 20, 2025 at 03:33 AM
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Summary of Reddit Comments on Dreame Robotic Mower A1

Pros:

  • Accurate navigation and top-notch obstacle avoidance are highlighted features that users appreciate.
  • Innovative U-path planning is mentioned, although some users find the algorithm inefficient at times.
  • Immersive 3D map is described as a cool feature, despite being seen as more of a gimmick by some users.
  • Easy adjustment of cutting height and intuitive app settings make operation convenient.

Cons:

  • The product is criticized for being unable to map more than 2 zones, which some users find limiting and even make the product useless.
  • Pricing information is lacking, with a confusing web page for discounts but no clear indication of the actual price.
  • Some users express concerns about security and the potential for the robot mower to be stolen.
  • The app is seen as needing improvements, particularly in map editing, notification control, zone selection, and remote control functionality.

Additional Information:

  • Users compare the Dreame A1 to the Luba 2, highlighting the latter's larger yard capacity and RTK capability.
  • Multiple users mention issues with customer service and lack of support from Dreame, which affects their overall experience with the product.
  • The navigation system of the Dreame A1, using SLAM + dead reckoning, is suitable for small yards and may require additional landmarks for larger areas.
  • Concerns are raised about centimeter accuracy, the limitations of Lidar technology, and the need for a balance between a wired and RTK mower.

In conclusion, the Dreame Robotic Mower A1 offers advanced features like accurate navigation and obstacle avoidance, but it is criticized for its limited mapping capabilities and the need for improvements in pricing transparency, app functionality, and customer support. Users express mixed feelings about the product's potential and hope for future iterations to address current shortcomings.

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