China Guangdong Completes Downhole Unmanned Aerial Vehicle Autonomous Exploration Flight Test

en.Wedoany.com Reported - A team from Shenzhen University, South China Normal University, and the Guangdong Provincial Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) recently conducted a "Practical Scenario Application Test of Autonomous Exploration and Perception Flying Robot in Confined Unknown Spaces" in the -650m middle ramp and stope environment of Zhongjin Lingnan Fankou Mine in Shaoguan City, Guangdong Province, China.

The test process was divided into two flight missions with different modes. The first test flight for autonomous exploration by the flying robot was completed with manually set mission command codes. The second test flight activated a fully autonomous flight mode, where the drone autonomously completed navigation, positioning, and flight path planning without human intervention. On straight sections of the ramp, the drone reached a maximum flight speed of 5 m/s; upon entering the unknown area of the stope, its autonomous exploration cruising speed was 2 m/s.

Throughout the flight, the LiDAR mounted on the drone scanned the surrounding environment in real-time, generating high-precision 3D point cloud data and performing modeling. On the ground control terminal, operators viewed real-time displays of the drift and stope outline details. This autonomous exploration flight successfully validated the potential for intelligent inspection and 3D modeling in deep, complex mine environments blocked by GPS signals.

As of data in 2025, Zhongjin Lingnan Fankou Mine, one of the country's first batch of green mine and intelligent mine pilot projects, has maintained industry-leading technological exploration in intelligent applications such as underground unmanned driving and remote control. The success of this autonomous exploration flight robot test provides a new technical pathway for unmanned downhole inspection and precise 3D geological modeling in mines.

This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com