What technology does the DJI Romo P use for obstacle avoidance?

The DJI Romo P uses dual fisheye vision sensors and three solid-state LiDAR units for millimeter-level obstacle sensing.

How thin of an obstacle can the DJI Romo P detect?

The Romo P can detect obstacles as narrow as 2mm in thickness, including items like phone cables and playing cards.

How does the DJI Romo P compare to other robot vacuums in obstacle avoidance?

The Romo P's advanced sensor combination and navigation algorithms set a new standard, outperforming simpler robot vacuums and showing superior speed and accuracy in tests.

Home / Technology / DJI Romo P: Robot Vac Navigates Like an Olympic Skier

DJI Romo P: Robot Vac Navigates Like an Olympic Skier

13 Apr

•

Summary

DJI's Romo P robot vacuum uses advanced drone navigation technology.
It features dual fisheye sensors and three LiDAR units for precision.
The vacuum can detect obstacles as thin as 2mm, including cables and cards.

DJI Romo P: Robot Vac Navigates Like an Olympic Skier

DJI, known for its advanced drone technology, has entered the robot vacuum market with the Romo P, showcasing sophisticated navigation and obstacle avoidance.

The Romo P employs a combination of dual fisheye vision sensors and three solid-state LiDAR units. DJI states this system achieves millimeter-level obstacle sensing, enabling it to identify and avoid objects as thin as 2mm, such as phone cables, Lego bricks, and even playing cards.

This advanced capability was demonstrated in tests comparing the Romo P against the Roborock Saros 10R. While both performed well, the Romo P often showed superior speed and accuracy in navigating challenging obstacle courses.

In tests, the Romo P, even in its standard avoidance mode, proved adept at dodging various items. When set to its 'Obstacle Avoidance Priority' mode, its navigation capabilities were further enhanced, successfully navigating extremely cluttered environments.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.