Online position correction approach of an industrial robot by using a new photogrammetric measurement system

Author:

Garcia Luis12ORCID,Bielke Uwe3ORCID,Neumann Cornelius2,Hageney Theo4,Banzhaf Klaus4,Wiedenmann Ernst5,Börret Rainer1

Affiliation:

1. Aalen University, Aalen, Germany

2. Karlsruhe Institute of Technology, Karlsruhe, Baden-Württemberg, Germany

3. Glasgow Caledonian University, Glasgow, Scotland, UK

4. eµmetron GmbH, Aalen, Baden-Württemberg, Germany

5. Serious Enterprises, Aalen, Germany

Abstract

Six-axis industrial robots are widely used, mainly because of their versatility. However, they have one drawback: they are not as accurate as conventional machine tools. There are currently a number of approaches to increase the accuracy of these robots. This paper reports on the online correction of an ABB IRB 120 industrial robot using a novel photogrammetric measurement device, the Multi Aperture Positioning System (MAPS). As described by Luhmann, multi-camera solutions were previously required for the online measurement of the six degrees of freedom (6DOF = position and orientation in 3D space) of the robot TCP. MAPS offers the advantages of a single-camera system and at the same time the features and accuracy of a multi-camera system. To increase the accuracy of the robot, a correction algorithm is developed. It uses the measured values from MAPS to calculate the deviation of the robot Tool Center Point (TCP) position from the planned position and corrects it online if necessary. In this paper, three experiments are presented and their results discussed. Two to determine the position and trajectory accuracy of the robot and one to determine its z-stability on a trajectory in the xy plane. In each of these experiments, the robot end effector is tracked with the MAPS measurement device. After the actual state of the robot was recorded, all experiments were performed again, this time with the online correction. In all experiments, a significant increase in the accuracy of the robot can be observed. For example, the mean absolute error (MAE) of the position accuracy improved by a factor of 7 from 0.0207 to 0.0029 mm and the path accuracy (MAE) from 0.1140 to 0.0151 mm.

Funder

Bundesministerium für Wirtschaft und Klimaschutz

Deutsche Forschungsgemeinschaft

German Research Foundation and eµmetron GmbH

Publisher

SAGE Publications

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Vision based trajectory dynamic compensation system of industrial robot;The International Journal of Advanced Manufacturing Technology;2024-03-06

2. Calibration of Panasonic TM-2000 Welding Robot Using Simulation Software;EAI International Conference on Automation and Control in Theory and Practice;2023

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