A novel vision-based calibration framework for industrial robotic manipulators

Balanji, Hamid Majidi and Turgut, Ali Emre and Tunç, Lütfi Taner (2022) A novel vision-based calibration framework for industrial robotic manipulators. Robotics and Computer Integrated Manufacturing, 73 . ISSN 0736-5845 (Print) 1879-2537 (Online)

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With the increasing involvement of industrial robots in manufacturing processes, the demand for high quality robots has increased considerably. A high-quality robot is a robot having good repeatability and accuracy. Industrial robots are known to have very good repeatability, however it is not the same with accuracy. Due to harsh working conditions, accuracy of robots deteriorate over time. Calibration is a practical approach to sustain accuracy. In calibration, position and orientation of the tool center point (TCP) of a robot arm should be corrected using a tracking device with higher accuracy. Different devices such as laser-trackers, optical CMMs, and stereo cameras have been used in the literature. In this paper, a novel calibration framework is proposed based on a single camera and computer vision techniques using ArUco markers. The product of exponentials method is used for kinematic modeling of the robot to avoid the singularity. The performance of the framework is tested using computer-based simulations and using a six degree of freedom (6-DOF) UR5 robotic manipulator. Position and orientation errors are used as metrics in the experiments. The position and orientation errors in real world experiments reached to 2.5 mm and 0.2°, respectively. The result shows that the method is usable in real world scenarios.
Item Type: Article
Uncontrolled Keywords: Computer vision; Fiducial marker system; Industrial robot calibration; POE; Vision-based robot calibration
Divisions: Faculty of Engineering and Natural Sciences
Integrated Manufacturing Technologies Research and Application Center
Depositing User: Lütfi Taner Tunç
Date Deposited: 29 Aug 2022 12:30
Last Modified: 29 Aug 2022 12:30
URI: https://research.sabanciuniv.edu/id/eprint/43759

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