单眼视觉测量系统不确定性分析和一步终端估计升级
Kuai Zhou1,2, Wenmin Chu1, Peng Zhao2
1School of Aeronautical Engineering, Nanjing University of Industry Technology, Nanjing 210023, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
本研究介绍了自动化制造中的单眼视觉系统的不确定性分析,从而为机器人和手眼校准提供了一种全新的单步方法. 这种方法提高了视觉引导机器人组装的准确性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
- 制造业 工程 制造工程
背景情况:
- 单眼视觉测量和视觉引导的机器人技术在自动化制造,特别是航空航天组装方面至关重要.
- 从视觉测量,手眼校准和机器人校准中积累的多源错误会降低最终组装的准确性.
研究的目的:
- 开发一种不确定性分析方法,用于组装姿势估计中的单眼视觉测量系统.
- 通过不确定性分析,为机器人和手眼校准问题提供直接的,单步解决方案.
- 为了构建一个高性能,端到端的姿势估计卷积神经网络 (OECNN).
主要方法:
- 为单眼视觉测量系统开发了一种不确定性分析方法,详细说明不确定性传播路径和输入值.
- 应用非线性映射估计,为机器人和手眼校准挑战提供直接,单步解决方案.
- 构建并验证了一步端到端姿势估计卷积神经网络 (OECNN).
主要成果:
- OECNN直接映射目标物体的位置变化到定位器驱动器体积变化.
- 不确定性分析提供了提高组装姿势估计精度的关键见解.
- 实验验证证了拟议的一步方法的高准确性和适用性.
结论:
- 拟议的不确定性分析方法为复杂系统不确定性分析提供了有价值的参考.
- 一个步骤的终端到步骤的姿势估计方法显著提高了自动装配任务的准确性.
- 这种方法特别适用于高精度应用,例如使用视觉引导机器人的飞机组装.
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