Scanning Path Planning of Ultrasonic Testing Robot Based on Deep Image Processing
Source abstract
Abstract
Aiming at the problems of long time consuming and low precision of manual teaching or off-line programming in scanning path planning of ultrasonic testing robot, a method of generating ultrasonic testing robot trajectory based on deep image processing was proposed. Firstly, the consumer-level depth camera is used to collect images on the surface of the measured object and repair the information missing in the depth image. Then the surface point cloud is generated by using the depth image and color image of the object to be measured, and the scanning path of the detection robot is generated by the method of point cloud normal vector estimation and curve fitting. Finally, the scanning path is verified by MATLAB and Coppeliasim co-simulation. The results show that the ultrasonic testing robot can move accurately along the extracted scanning path, and realize the automatic detection of micro defects in the workpiece, the detection scanning surface of the workpiece is a plane, which provides an experimental basis and theoretical basis for the subsequent research on the scanning path planning of the ultrasonic testing robot.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Robotics and Sensor-Based Localization · Robotic Path Planning Algorithms · Soft Robotics and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (27)
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