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Frontiers of Information Technology & Electronic Engineering >> 2023, Volume 24, Issue 2 doi: 10.1631/FITEE.2200172

Development of an onsite calibration device forrobot manipulators

College of Control Science and Engineering, Zhejiang University, Hangzhou 310063, China; Huzhou Institute of Zhejiang University, Huzhou 313098, China; Binjiang Institute of Zhejiang University, Hangzhou 310014, China; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; less

Received: 2022-04-27 Accepted: 2023-02-27 Available online: 2023-02-27

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Abstract

A novel in-contact three-dimensional (3D) measuring device, called MultiCal, is proposed as a convenient, low-cost (less than US$5000), and robust facility for onsite and online measurement of robot manipulator accuracy. The device has -level accuracy and can be easily embedded in robot cells. During the calibration procedure, the robot manipulator first moves automatically to multiple end-effector orientations with its tool center point (TCP) constrained on a fixed point by a 3D displacement measuring device (single point constraint), and the corresponding joint angles are recorded. Then, the measuring device is precisely mounted at different positions using a well-designed fixture, and the above measurement process is repeated to implement a multi-point constraint. The relative mounting positions are accurately measured and used as prior information to improve calibration accuracy and robustness. The results of theoretical analysis indicate that MultiCal reduces calibration accuracy by 10% to 20% in contrast to traditional non-contact 3D or six-dimensional (6D) measuring devices (such as laser trackers) when subject to the same level of artificial measurement noise. The results of a calibration experiment conducted on a Staubli TX90 robot show that MultiCal has only 7% to 14% lower calibration accuracy compared to a measuring arm with a laser scanner, and 21% to 30% lower time efficiency compared to a 6D binocular vision measuring system, yielding maximum and mean absolute position errors of 0.831 and 0.339, respectively.

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