Deep learning in design of semi-automated 3d printed chainmail with pre-programmed directional functions for hand exoskeleton

HIGHLIGHTS

  • who: Izabela Rojek and collaborators from the Institute of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland have published the article: Deep Learning in Design of Semi-Automated 3D Printed Chainmail with Pre-Programmed Directional Functions for Hand Exoskeleton, in the Journal: (JOURNAL)
  • what: The aim of this paper is to refine a scientific solution to the problem of or efficient and practical design of 3D chainmails of exoskeletons with preprogrammed properties (variable stiffness/flexibility depending on direction) reflecting individual user needs including different types and degrees of deficit. The authors demonstrate this with the example . . .

     

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