In this paper, we present our approach to solve a robot-sensor calibration problem. This is preparatory to the acquisition and stitching of point clouds. We operated by adopting a robotic arm equipped with a suitable 3D sensor, in the context of aerospace manufacturing. The aim is to improve the effectiveness and efficiency of specific assembly steps, such as checking for part-To-part gaps.

An accurate hardware calibration and 3D point cloud stitching towards automatic quality control in aerospace manufacturing

Dibari P.;Nitti M.;Patruno C.;Di Summa M.;Mosca N.;Renò V.
2022

Abstract

In this paper, we present our approach to solve a robot-sensor calibration problem. This is preparatory to the acquisition and stitching of point clouds. We operated by adopting a robotic arm equipped with a suitable 3D sensor, in the context of aerospace manufacturing. The aim is to improve the effectiveness and efficiency of specific assembly steps, such as checking for part-To-part gaps.
2022
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA) Sede Secondaria Bari
aerospace manufacturing
global iterative minimization
point cloud stitching
robot-sensor calibration
shim
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/486901
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