支持机器人精度退化评估的先进传感器和目标开发

Guixiu Qiao
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引用次数: 7

摘要

提出了一种基于视觉的六自由度测量系统,可以实时测量机器人的动态运动。电动靶标设计为系统的一部分,与基于视觉的测量仪器一起工作,提供独特的功能,从背景中脱颖而出,实现高精度的监测、评估和预测,避免昂贵的意外停机,或降低制造质量和生产效率。美国国家标准与技术研究所(NIST)正在开发必要的测量科学,通过提供智能来增强维护和控制策略,以支持机器人系统的监测、诊断和预测。机器人精度退化研究包括测试方法的建模和算法的开发,先进的传感器和目标的开发,以准确测量机器人的6自由度信息,以及算法的分析数据。本文重点介绍了先进传感器和目标的发展。一个用例显示了在通用机器人上使用测量系统来支持机器人精度退化评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Sensor and Target Development to Support Robot Accuracy Degradation Assessment
This paper presents a vision-based, 6 degree of freedom (DOF) measurement system that can measure robot dynamic motions in real-time. A motorized target is designed as a part of the system to work with a vision-based measurement instrument, providing unique features to stand out from the background and enable the achievement of high accuracy monitored, assessed, and predicted to avoid a costly, unexpected shutdown, or decrease in manufacturing quality and production efficiency. The National Institute of Standards and Technology (NIST) is developing the necessary measurement science to support the monitoring, diagnostics, and prognostics of robot systems by providing intelligence to enhance maintenance and control strategies. The robot accuracy degradation research includes the development of modeling and algorithm for the test method, advanced sensor and target development to accurately measure robot 6 DOF information, and algorithms to analyze the data. This paper focuses on the development of the advanced sensor and target. A use case shows the use of the measurement system on a Universal Robot to support the robot accuracy degradation assessment.
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