Recently, multiple departments including the Shanghai Municipal Commission of Economy and Informatization and the Municipal Science and Technology Commission jointly announced the proposed list for the "2023 Shanghai Intelligent Robot Benchmark Enterprises and Application Scenarios Recommended Catalog." CNGBS Robotics' project, "Aircraft Composite Material Grinding Application," was successfully selected.

Selected Scenario: Aircraft Composite Material Grinding Application
The primary focus of this application is the multi-angle grinding treatment of composite materials in the field of aircraft manufacturing. Based on a robotic intelligent control system, the application concentrates on process optimization for multi-angle grinding of composite materials, enhancement of automation levels, and quality control. By comprehensively employing machine learning algorithms, a motion capture system, a point-line laser system, adaptive control technology, and a visual recognition system, the application achieves efficient, precise, and intelligent composite material grinding.

(Image: CNGBS Grinding Workstation schematic; subject to actual application)
In this application, CNGBS utilizes a robot, a robot floor track, a quick-change disc fixture, and is equipped with four different grinding tools. The system can automatically adjust grinding force and speed based on the material's surface characteristics, ensuring each piece of composite material meets high standards of finish and smoothness.
Through the selection of the "Aircraft Composite Material Grinding Application" project, CNGBS will continue to dedicate itself to innovation and advancement in the field of intelligent robotics, persistently promoting the application of robotic technology in aviation manufacturing, and making greater contributions to improving aircraft manufacturing efficiency and quality. The company will seize this opportunity to deepen cooperation with aviation manufacturing enterprises, jointly creating a new paradigm for the application of intelligent robots in the aviation industry.