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Industry 4.0, Intelligent Visual Assisted Picking Approach

Part of the Lecture Notes in Computer Science book series (LNAI,volume 11308)

Abstract

This work deals with a novel intelligent visual assisted picking task approach, for industrial manipulator robot. Intelligent searching object algorithm, around the working area, by RANSAC approach is proposed. After that, the image analysis uses the Sobel operator, to detect the objects configurations; and finally, the motion planning approach by Screw theory on SO(3), allows to pick up the selected object to move it, to a target place. Results and whole approach validation are discussed.

Keywords

  • Artificial intelligence
  • Autonomous picking
  • Artificial vision
  • Sobel
  • RANSAC
  • Screws modeling

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Correspondence to Mario Arbulu , Paola Mateus , Manuel Wagner , Cristian Beltran or Kensuke Harada .

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Arbulu, M., Mateus, P., Wagner, M., Beltran, C., Harada, K. (2018). Industry 4.0, Intelligent Visual Assisted Picking Approach. In: Groza, A., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2018. Lecture Notes in Computer Science(), vol 11308. Springer, Cham. https://doi.org/10.1007/978-3-030-05918-7_18

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  • DOI: https://doi.org/10.1007/978-3-030-05918-7_18

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