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Robo-top: The machines that could make your next t-shirt

Your next t-shirt could be made by a robot, not overseas. New machines might bring clothing manufacturing back to the West, shifting production closer to home.

Elena Voss
Elena Voss
·3 min read·United States·10 views

Originally reported by BBC Technology · Rewritten for clarity and brevity by Brightcast

Robots can assemble cars and perform surgery, but they struggle with delicate tasks like sewing. This is why most clothes are still made by hand, often by low-paid workers. Sewing fabric requires precise alignment, which is hard for machines.

New Ways to Make Clothes

CreateMe, a robotics company, is trying a different approach. Instead of sewing, they glue fabric pieces together. Founder Cam Myers explains that once adhesive is applied, you simply line up the fabric and stamp it. CreateMe's robots are already making women's underwear this way and will soon produce t-shirts. Mass production could start next year.

Roboticists have wanted to automate garment making for decades. If machines could take over, clothing production might return to Western countries. This could also reduce the environmental impact of clothes. However, millions of textile workers could lose their jobs.

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Currently, only a small percentage of clothes sold in the UK and US are made there. Myers believes that if even 10% of t-shirt manufacturing moved back to the US with automation, it would be a huge change. CreateMe's adhesive process works with cotton, wool, and leather. The adhesive is thermoset, meaning it won't melt in the wash or when ironed. These glued garments also lack seams, allowing them to be made on molds that fit the body.

The Debate Over Sewing

Despite these advances, some believe sewing will remain essential. Palaniswamy Rajan, CEO of Softwear Automation, points out that visible stitching is a key design element for many clothes, like jeans. His company plans to release new sewing robots that he claims will make t-shirts at the same cost as importing them to the US.

Many companies are secretive about their robot technology due to intense competition in the apparel market. Textile workers already face challenges, including factory closures and supply chain issues. Automation advocates suggest workers could move to better-paying jobs, but this transition won't happen quickly.

Environmental Benefits

Automating garment manufacturing could significantly reduce the industry's environmental impact. Each year, 92 million tons of textile waste are produced globally. Large amounts of unsold clothes are burned, and the industry uses vast amounts of water.

Gerald Feichtinger from the Technical University of Leoben, Austria, says that bringing manufacturing back to local areas could allow for on-demand production. This would reduce overproduction and cut carbon emissions from transporting clothes. His study found that emissions for a t-shirt could drop by about 45% if made by a robot in Europe or the US.

A blonde female model wears a green t-shirt and a dark-haired male model wears a white t-shirt.

However, re-shoring the entire supply chain, including dyeing and yarn production, remains difficult. Michael Fraede, co-founder of Robotextile, which makes grippers for robots to handle fabric, believes it will take another 10 years before significant re-shoring happens. He notes the industry is focused on saving money.

Lauren Junestrand of the UK Fashion and Textile Association sees great potential for robotics in the UK. While she doesn't expect the UK to compete with Asian countries in volume, she believes a "co-existence" is likely.

Deep Dive & References

Brightcast Impact Score (BIS)

This article highlights a novel robotic solution for garment manufacturing, which could bring production back to Western countries and reduce environmental impact. The technology is currently producing women's underwear and will expand to t-shirts, showing initial evidence of success and scalability. While the emotional impact is moderate, the potential for widespread positive change is significant.

Hope28/40

Emotional uplift and inspirational potential

Reach24/30

Audience impact and shareability

Verification15/30

Source credibility and content accuracy

Hopeful
67/100

Solid documented progress

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Sources: BBC Technology

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