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A Constraint Based Motion Optimization System for Quality Inspection Process Improvement

  • Nicolò Boscolo
  • Elisa Tosello
  • Stefano Tonello
  • Matteo Finotto
  • Roberto Bortoletto
  • Emanuele Menegatti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8810)

Abstract

This paper presents a motion optimization system for an industrial quality inspection process where a vision device coupled with a manipulator robot arm is able to perform quality and completeness inspection on a complex solid part. In order to be deployed in an industrial production plant, the proposed system has been engineered and integrated as a module of an offline simulator, called WorkCellSimulator, conceived to simulate robot tasks in industrial environments. The novelty of the paper concerns the introduction of time constraints into the motion planning algorithms. Then, these algorithms have been deeply integrated with artificial intelligence techniques in order to optimize the inspection cycle time. This integration makes the application suitable for time-constrained processes like, e.g., autonomous industrial painting or autonomous thermo-graphic detection of cracks in metallic and composite materials.

Keywords

Motion Planning Travel Salesman Problem Travel Salesman Problem Quality Inspection Inspection Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Nicolò Boscolo
    • 1
  • Elisa Tosello
    • 2
  • Stefano Tonello
    • 1
  • Matteo Finotto
    • 1
  • Roberto Bortoletto
    • 2
  • Emanuele Menegatti
    • 2
  1. 1.IT+Robotics SrlPadovaItaly
  2. 2.Intelligent Autonomous Systems LaboratoryUniversity of PadovaPadovaItaly

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