Fully Automated Bead Art Assembly for Smart Manufacturing Using Dynamic Compensation Approach

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  • Murakami Kenichi
    Institute of Industrial Science, The University of Tokyo
  • Huang Shouren
    Data Science Research Division, Information Technology Center, The University of Tokyo
  • Ishikawa Masatoshi
    Data Science Research Division, Information Technology Center, The University of Tokyo Tokyo University of Science
  • Yamakawa Yuji
    Interfaculty Initiative in Information Studies, The University of Tokyo

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Abstract

<p>In this study, we demonstrate the implementation of make-to-order bead art assembly without human intervention using dynamic compensation approach to achieve accurate real-time positioning and long-term adaptation for robotic automation in smart manufacturing. In the proposed framework, an industrial robot was designed to perform coarse global motion to implement low-bandwidth adaptation. Simultaneously, fine local motion to tackle real-time online uncertainties was achieved using an add-on robotic module to implement accurate positioning. The effectiveness of the proposed method was verified through experimental evaluations.</p>

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