Envisioning Individualized Fashion Remanufacturing: Empowering Non-Experts Through Visualization-Enhanced Human-Multi-Robot Interaction

Automating apparel remanufacturing can improve textiles' ecological and societal impact, but integrating robotics into fashion is challenging due to fabric complexity. This demo presents a platform enabling non-experts to define multi-robot remanufacturing tasks through visualization-enhanced hand guiding. By leveraging collaborative automation and parametric systems, a dual-robot setup achieves precision and adaptability. Using Grasshopper for path planning and VVVV for real-time interaction, we created an intuitive, easy-to-use interface whereby real-time visualization makes advanced robotics accessible to non-experts, transforming remanufacturing processes, fostering innovation in human-robot collaboration, and ultimately advancing the fashion and textiles sector. This approach broadens participation and encourages sustainable solutions.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974255
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
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article

Envisioning Individualized Fashion Remanufacturing: Empowering Non-Experts Through Visualization-Enhanced Human-Multi-Robot Interaction

Amir Bastan, Johannes Braumann, Emanuel Gollob, Christiane Luible-Bär
Digital Transformation in Industry
article

Envisioning Individualized Fashion Remanufacturing: Empowering Non-Experts Through Visualization-Enhanced Human-Multi-Robot Interaction

Amir Bastan, Johannes Braumann, Emanuel Gollob, Christiane Luible-Bär
article en

Abstract

Automating apparel remanufacturing can improve textiles' ecological and societal impact, but integrating robotics into fashion is challenging due to fabric complexity. This demo presents a platform enabling non-experts to define multi-robot remanufacturing tasks through visualization-enhanced hand guiding. By leveraging collaborative automation and parametric systems, a dual-robot setup achieves precision and adaptability. Using Grasshopper for path planning and VVVV for real-time interaction, we created an intuitive, easy-to-use interface whereby real-time visualization makes advanced robotics accessible to non-experts, transforming remanufacturing processes, fostering innovation in human-robot collaboration, and ultimately advancing the fashion and textiles sector. This approach broadens participation and encourages sustainable solutions.

University of Arts and Industrial Design Linz (AT)
Openalex Percentile: Top 86%
Digital Transformation in Industry
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Envisioning Individualized Fashion Remanufacturing: Empowering Non-Experts Through Visualization-Enhanced Human-Multi-Robot Interaction — Amir Bastan, Johannes Braumann, et al. · (2025) | TGRS Research Map | TGRS