MACHINE APPLICATION IN TEXTILE ART CREATION THROUGH AI ASSET CALCULATION AND PARALLEL KINEMATIC EXECUTION

Authors

  • Saba Mohauddin Lahore Leads University, Pakistan. Author
  • Tehreem Ramzan Lahore Leads University, Pakistan. Author
  • Mehak Iftikhar Lahore Leads University, Pakistan. Author
  • Laraib Manzoor Lahore Leads University, Pakistan. Author
  • Dr Anum Ali Lahore Leads University, Pakistan. Author https://orcid.org/0000-0003-4811-7171

DOI:

https://doi.org/10.71146/kjmr1032

Keywords:

AI textile design, Kinematic detection, industrial design

Abstract

The intersection of artificial intelligence and physical manufacturing presents novel opportunities for textile art creation. This paper introduces a comprehensive framework that integrates AI-driven asset calculation with advanced machine application to automate and enhance the production of intricate textile designs. By employing generative algorithms and structured support vector machines, we calculate and classify high-fidelity digital textile assets. These assets are subsequently realized using high-speed parallel kinematic machines (PKMs), leveraging their superior structural rigidity and dynamic capacities. Ultimately, this approach bridges the gap between digital generative art and physical textile machining, offering a scalable solution for modern industrial design and custom fabrication.

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Author Biography

  • Dr Anum Ali, Lahore Leads University, Pakistan.

    Professor of Computing and Engineering, Entepreneurship, mama of three girls by grace of god. 

References

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Published

2026-03-31

Issue

Section

Computer Science

Categories

How to Cite

MACHINE APPLICATION IN TEXTILE ART CREATION THROUGH AI ASSET CALCULATION AND PARALLEL KINEMATIC EXECUTION. (2026). Kashf Journal of Multidisciplinary Research, 3(03), 32-37. https://doi.org/10.71146/kjmr1032