Blog - September 27, 2026

The future of sewing automation in apparel productionAutonomous fabric handling as the central challenge and a driver of new competitive dynamics

The greatest technical challenge lies not in the sewing process itself, but in autonomously gripping, positioning and guiding flexible fabrics, known as fabric handling.

Author: Sofia Ďurková

Many stages of industrial apparel production, such as cutting or pressing, are already largely automated. Assembly, meaning the joining of the cut fabric pieces into the finished garment, remains to this day the least automated production step. The greatest technical challenge lies not in the sewing process itself, but in autonomously gripping, positioning and guiding flexible fabrics, known as fabric handling.

This article is based on a competitive screening carried out as part of a consulting project for the Austrian deep-tech startup silana. A total of 168 companies, research institutions, consortia and other market players were examined. The analysis shows why fabric handling remains the industry's greatest technical challenge to this day, which solution approaches have emerged, and what shapes the current dynamics in the competitive environment.

A problem known since the 1980s

Free fabric handling describes the autonomous gripping and positioning of flexible fabrics without a person aligning the fabric or placing the piece into a template. Unlike metal or plastic, textile changes its shape on contact, slips or forms creases. It is precisely these material properties that make handling textiles considerably more demanding for robots than automation tasks such as welding or assembly.

This challenge is not new to apparel production, however. As early as 1982, Japan launched TRAAS (Total Robotic Apparel Assembly System), a state-funded programme and one of the first major research projects towards the complete automation of apparel production. The aim was to develop a continuous, robot-supported production process from the fabric roll to the finished garment, with free fabric handling and without manual intervention. More than four decades later, this technological problem is still not fully solved.

How companies solve fabric handling

The analysis identifies six technological approaches with which market players address or circumvent fabric handling (Figure 1). Alongside them stands the mass market, which to this day relies predominantly on template-based methods. Here the fabric is placed into a template by hand before the machine takes over the actual sewing process. Free fabric handling does not take place.

Beyond that, some players pursue alternative manufacturing concepts that do not solve the problem directly but circumvent it. These include methods in which fabrics are temporarily stiffened with a water-soluble polymer or fabric layers are bonded together. Others replace sewing entirely with shape-forming knitting methods. These approaches can be useful in specific applications, but do not represent a universal solution for free fabric handling.

A further group addresses fabric handling directly, but only partially. This includes above all vacuum systems as well as humanoid robots, whose use is currently still limited to certain materials, geometries or individual process steps.

Only eleven of the 168 market players analysed pursue advanced approaches to free fabric handling. These include in particular systems based on vision AI and robotic arms as well as electroadhesive gripping technologies. Their shared aim is to grip, position and guide different fabrics autonomously and without templates. Most of these solutions are, however, still at prototype stage or in an early phase of commercialisation.

Fabric handling approaches at a glance
Advanced
Partial
Alternative approaches
Vision AI + robotic arm9 players
A camera detects the position of the fabric in real time; the robotic arm grips and positions it without a template
e.g. silana, ADOTC, SoftWear, ESI/CITEVE
Vacuum3 players
Reliable with flat fabrics, reaches its limits with complex geometries
Robotextile, Sewingtech, Somax
PVA + adhesive2 players
The fabric is temporarily stiffened (Sewbo) or bonded instead of sewn (CreateMe)
Sewbo, CreateMe
Electroadhesion2 players
An electrostatic field holds the fabric without mechanical contact
Creative Technology, HKRITA
Humanoids3 players
Replace the human at the machine, so far without independent fabric handling
e.g. NAVAI, ZOJE
Knitting3 players
Sewing is eliminated structurally; the garment is formed directly from yarn
Shima Seiki, Cixing, Santoni
Figure 1: Fabric handling approaches at a glance
Classification: “Advanced” describes approaches that can in principle work autonomously with different fabrics. “Partial” covers approaches with functional limitations regarding material variety or geometry.

The development is gaining momentum

For many years, sewing automation developed only incrementally. In the last few years, however, a markedly higher rate of innovation has become apparent. New demonstrators, research programmes and technological partnerships are increasingly being presented in the market. At the same time, large industrial companies are becoming more active in a field long shaped above all by specialised technology providers.

One example of this is the collaboration between the automation group OMRON and the sewing technology company Matsuya, which have been working together since 2022 on solutions for fully automated, robot-supported apparel production. State-funded research programmes and public demonstrators are also increasing. In 2026, an integrated, largely automated production line was presented publicly, covering the manufacturing process from the fabric roll to the finished garment.

At the same time, new robotics approaches are broadening the technological spectrum. Since 2025, the first humanoid systems have been presented in the context of apparel production. Their potential lies above all in taking over existing manual work steps. So far, however, they do not solve the actual problem of fabric handling independently, but work predominantly with template-based processes or are still at an early stage of development.

Innovation emerges along different routes

The analysis reveals two different models of how innovation in sewing automation is driven forward. While in Europe and North America it is above all technology-oriented startups that play a central role, parts of Asia are dominated by more strongly coordinated structures of industry, research and state funding.

A concrete example of this is South Korea. There, a state-funded consortium of ten partners, among them Hyundai Robotics and several research institutes, developed a networked, robot-supported sewing line between 2020 and 2021 under the name 5G Sewing Robot Smart Factory. The project ended with a working demonstrator; a commercial successor is not known to date.

This form of organisation makes it possible to combine industrial experience, scientific research and long-term financing within joint development programmes, and differs markedly from the predominantly startup-driven innovation models in Europe and North America.

Key implications for the industry

  • The technological standard is still open
    To this day, no dominant technological approach to free fabric handling has become established. The majority of the market continues to rely on template-based methods or addresses fabric handling only partially. As a result, the industry remains in a phase of open technological competition. Companies that succeed in establishing a scalable and economically viable approach could set the future standard themselves rather than serve an existing one, and thereby secure lasting competitive advantages.
  • Material variance decides scalability
    It is not performance under ideal conditions that decides the long-term success of a fabric handling approach, but its generalisability. Technologies that can work with different fabric types and geometries without fundamental adaptation hold the greatest potential for broad industrial application.
  • Competition is increasingly shaped by innovation ecosystems
    The analysis indicates that technological progress is emerging ever more frequently within networks of industry, research and robotics. As technological complexity grows, the ability to combine complementary capabilities and resources within such ecosystems could in future determine the speed of innovation more than the performance of individual companies.
Sources
JUKI (company history, TRAAS project), MITI Japan (TRAAS project documentation, 1992), Matsuya R&D (2022), OMRON Healthcare (2025), Yonhap News Agency (2020), KICTEX (2021), SoftWear Automation (2025), BESTSELLER (2026), Innovation in Textiles (2024), ADOTC (2026), Shima Seiki (2026), Santoni (2026), WTIN (2025), Apparel Resources (2025), CNIPA / Google Patents (2021–2026), exhibitor directories CISMA, JIAM, Texprocess and DTC (2024–2026), icons analysis.
Sofia Ďurková

Written by

Sofia Ďurková

Student Consultant seit April 2026

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