Optimization of image synthesis for complex geometry objects in the robotic ultrasonic system

D. A. Tatarnikov, Gennady P. Tsapko, Y. Pochivalov
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Abstract

This paper is devoted to the optimization of image synthesis for complex shape objects in the robotic system of ultrasonic testing. The basis of this process is a preliminary analysis of the object with complex geometry to ensure reproducibility and accuracy of the tests in the specified range. It includes such stages as digital model creation, geometric surface analysis, creating of control points and vectors, searching for optimal model location, model verification on reachability, collisions and singularity.
机器人超声系统中复杂几何目标图像合成的优化
本文研究了超声检测机器人系统中复杂形状物体图像合成的优化问题。该过程的基础是对具有复杂几何形状的物体进行初步分析,以确保在规定范围内测试的再现性和准确性。它包括数字模型创建、几何曲面分析、控制点和矢量的创建、模型最优位置的搜索、模型可达性验证、碰撞验证和奇点验证等阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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