Modelling and calibration technique of laser triangulation sensors for integration in robot arms and articulated arm coordinate measuring machines.

Sensors (Basel)

Departamento de Ingeniería de Diseño y Fabricación, Centro Politécnico Superior, Universidad de Zaragoza, c/ María de Luna, 3, 50018 Zaragoza, Spain; E-Mails: (D.G.); (C.C.); (J.S.S.); (J.J.A.).

Published: September 2012

AI Article Synopsis

  • A new calibration technique for laser triangulation sensors (LTS) in articulated arm coordinate measuring machines (AACMM) is introduced, which simplifies the process using a single calibration gauge object.
  • This method successfully identifies both intrinsic parameters of the LTS (like sensor and camera geometry) and extrinsic parameters tied to the AACMM's main frame in one step, eliminating the need for additional optimization typically required after calibration.
  • Experimental results demonstrate that this approach offers reliable accuracy and ease of use, making it applicable for other sensor integrations in robotic arms and coordinate measuring machines.

Article Abstract

A technique for intrinsic and extrinsic calibration of a laser triangulation sensor (LTS) integrated in an articulated arm coordinate measuring machine (AACMM) is presented in this paper. After applying a novel approach to the AACMM kinematic parameter identification problem, by means of a single calibration gauge object, a one-step calibration method to obtain both intrinsic-laser plane, CCD sensor and camera geometry-and extrinsic parameters related to the AACMM main frame has been developed. This allows the integration of LTS and AACMM mathematical models without the need of additional optimization methods after the prior sensor calibration, usually done in a coordinate measuring machine (CMM) before the assembly of the sensor in the arm. The experimental tests results for accuracy and repeatability show the suitable performance of this technique, resulting in a reliable, quick and friendly calibration method for the AACMM final user. The presented method is also valid for sensor integration in robot arms and CMMs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290499PMC
http://dx.doi.org/10.3390/s90907374DOI Listing

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