Abstract

Industrial automation has been recognized as a fundamental key to build and keep manufacturing industries in developed countries. In most automation tasks, knowing the exact position of the objects to handle is essential. This is often done using a positional calibration system, such as a camera-based vision system. In this article, an alternative six-degrees-of-freedom work object positional calibration method using a robot-held proximity sensor, is presented. A general trigonometry-based measurement and calculation procedure, which, step-by-step, adjusts a work object coordinate system to the actual work object position, is explained. For suitable robot tasks and work object geometries, the benefits with the presented method include its robustness, large work area and low investment cost. Some drawbacks can be longer cycle time and its limited capacity to handle unsorted and complicated objects. To validate the presented method, it was implemented in an experimental robot setup. In this robot cell, it was used to calibrate the position of a stator section work object, which is used in the Uppsala University Wave Energy Converter generator. Hereby the function of the positional calibration procedure was validated. Sufficient positioning accuracy for the stator winding task was achieved and theoretically validated based on the experiments.

Highlights

  • Manufacturing automation in general, and industrial robotics in particular, have recently been recognized as an essential key to keep manufacturing industries in countries with high personnel costs [1,2]

  • The world-wide number of installed industrial robots has been rapidly increased during the past years and this growth is forecasted to continue within the following years

  • This paper presents a six-degrees-of-freedom (6-DOF) positional calibration method, using a robot-held proximity sensor

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Summary

Introduction

Manufacturing automation in general, and industrial robotics in particular, have recently been recognized as an essential key to keep manufacturing industries in countries with high personnel costs [1,2]. Executive Summary: World Robotics 2012 Industrial Robots. Positional calibration of work objects, i.e., finding the exact position of the object to handle, is a common problem in robot automation. Vision-based systems are used for similar applications with humanoid and mobile robots [9,10]. For a robot to be able to handle an object with high precision, its absolute positioning accuracy is critical. Industrial robots are known for high positioning repeatability, but perform worse in absolute positioning. The absolute positioning accuracy can be improved substantially through absolute calibration of the robot or with positioning feedback and compensation systems [11,12]

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