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Conference Papers Year : 2013

Multi-camera 3D Object Reconstruction for Industrial Automation

Malamati Bitzidou
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  • PersonId : 1002195
Dimitrios Chrysostomou
  • Function : Author
  • PersonId : 1002196
Antonios Gasteratos
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  • PersonId : 1002197

Abstract

In this paper, a method to automate industrial manufacturing processes using an intelligent multi-camera system to assist a robotic arm on a production line is presented. The examined assembly procedure employs a volumetric method for the initial estimation of object’s properties and an octree decomposition process to generate the path plans for the robotic arm. Initially, the object is captured by four cameras and its volumetric representation is produced. Thereafter, a quality check with its respective CAD model is performed and the final details of the 3D model are refined. An octree decomposition technique is utilized afterwards to facilitate the automatic generation of the assembly path plans and translate them to a sequence of movements for the robotic arm. The algorithm is fast, computationally simple and produces an assembly sequence that can be translated to any major robotic programming language. The proposed algorithm is assessed and preliminary experimental results are discussed.
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hal-01472287 , version 1 (20-02-2017)

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Malamati Bitzidou, Dimitrios Chrysostomou, Antonios Gasteratos. Multi-camera 3D Object Reconstruction for Industrial Automation. 19th Advances in Production Management Systems (APMS), Sep 2012, Rhodes, Greece. pp.526-533, ⟨10.1007/978-3-642-40352-1_66⟩. ⟨hal-01472287⟩
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