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Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.

You’ve likely met someone who identifies as a visual or auditory learner, but others absorb knowledge through a different modality: touch. Being able to understand tactile interactions is especially important for tasks such as learning delicate surgeries and playing musical instruments, but unlike video and audio, touch is difficult to record and transfer.

To tap into this challenge, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and elsewhere developed an embroidered smart glove that can capture, reproduce, and relay touch-based instructions. To complement the wearable device, the team also developed a simple machine-learning agent that adapts to how different users react to tactile feedback, optimizing their experience. The new system could potentially help teach people physical skills, improve responsive robot teleoperation, and assist with training in virtual reality.

Will I be able to play the piano?
To create their smart glove, the researchers used a digital embroidery machine to seamlessly embed tactile sensors and haptic actuators (a device that provides touch-based feedback) into textiles. This technology is present in smartphones, where haptic responses are triggered by tapping on the touch screen. For example, if you press down on an iPhone app, you’ll feel a slight vibration coming from that specific part of your screen. In the same way, the new adaptive wearable sends feedback to different parts of your hand to indicate optimal motions to execute different skills.

The smart glove could teach users how to play the piano, for instance. In a demonstration, an expert was tasked with recording a simple tune over a section of keys, using the smart glove to capture the sequence by which they pressed their fingers to the keyboard. Then, a machine-learning agent converted that sequence into haptic feedback, which was then fed into the students’ gloves to follow as instructions. With their hands hovering over that same section, actuators vibrated on the fingers corresponding to the keys below. The pipeline optimizes these directions for each user, accounting for the subjective nature of touch interactions.

“Humans engage in a wide variety of tasks by constantly interacting with the world around them,” says Yiyue Luo MS ’20, lead author of the paper, PhD student in MIT’s Department of Electrical Engineering and Computer Science (EECS), and CSAIL affiliate. “We don’t usually share these physical interactions with others. Instead, we often learn by observing their movements, like with piano-playing and dance routines.

“The main challenge in relaying tactile interactions is that everyone perceives haptic feedback differently,” adds Luo. “This roadblock inspired us to develop a machine-learning agent that learns to generate adaptive haptics for individuals’ gloves, introducing them to a more hands-on approach to learning optimal motion.”

The wearable system is customized to fit the specifications of a user’s hand via a digital fabrication method. A computer produces a cutout based on individuals’ hand measurements, then an embroidery machine stitches the sensors and haptics in. Within 10 minutes, the soft, fabric-based wearable is ready to wear. Initially trained on 12 users’ haptic responses, its adaptive machine-learning model only needs 15 seconds of new user data to personalize feedback.

In two other experiments, tactile directions with time-sensitive feedback were transferred to users sporting the gloves while playing laptop games. In a rhythm game, the players learned to follow a narrow, winding path to bump into a goal area, and in a racing game, drivers collected coins and maintained the balance of their vehicle on their way to the finish line. Luo’s team found that participants earned the highest game scores through optimized haptics, as opposed to without haptics and with unoptimized haptics.

“This work is the first step to building personalized AI agents that continuously capture data about the user and the environment,” says senior author Wojciech Matusik, MIT professor of electrical engineering and computer science and head of the Computational Design and Fabrication Group within CSAIL. “These agents then assist them in performing complex tasks, learning new skills, and promoting better behaviors.”

Bringing a lifelike experience to electronic settings
In robotic teleoperation, the researchers found that their gloves could transfer force sensations to robotic arms, helping them complete more delicate grasping tasks. “It’s kind of like trying to teach a robot to behave like a human,” says Luo. In one instance, the MIT team used human teleoperators to teach a robot how to secure different types of bread without deforming them. By teaching optimal grasping, humans could precisely control the robotic systems in environments like manufacturing, where these machines could collaborate more safely and effectively with their operators.

“The technology powering the embroidered smart glove is an important innovation for robots,” says Daniela Rus, the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT, CSAIL director, and author on the paper. “With its ability to capture tactile interactions at high resolution, akin to human skin, this sensor enables robots to perceive the world through touch. The seamless integration of tactile sensors into textiles bridges the divide between physical actions and digital feedback, offering vast potential in responsive robot teleoperation and immersive virtual reality training.”

Likewise, the interface could create more immersive experiences in virtual reality. Wearing smart gloves would add tactile sensations to digital environments in video games, where gamers could feel around their surroundings to avoid obstacles. Additionally, the interface would provide a more personalized and touch-based experience in virtual training courses used by surgeons, firefighters, and pilots, where precision is paramount.

While these wearables could provide a more hands-on experience for users, Luo and her group believe they could extend their wearable technology beyond fingers. With stronger haptic feedback, the interfaces could guide feet, hips, and other body parts less sensitive than hands.

Luo also noted that with a more complex artificial intelligence agent, her team's technology could assist with more involved tasks, like manipulating clay or driving an airplane. Currently, the interface can only assist with simple motions like pressing a key or gripping an object. In the future, the MIT system could incorporate more user data and fabricate more conformal and tight wearables to better account for how hand movements impact haptic perceptions.

Luo, Matusik, and Rus authored the paper with EECS Microsystems Technology Laboratories Director and Professor Tomás Palacios; CSAIL members Chao Liu, Young Joong Lee, Joseph DelPreto, Michael Foshey, and professor and principal investigator Antonio Torralba; Kiu Wu of LightSpeed Studios; and Yunzhu Li of the University of Illinois at Urbana-Champaign.

The work was supported, in part, by an MIT Schwarzman College of Computing Fellowship via Google and a GIST-MIT Research Collaboration grant, with additional help from Wistron, Toyota Research Institute, and Ericsson.

Researchers have trained an artificial intelligence to design the structure of so-called metamaterials with desired mechanical properties for a wide range of applications.

• ETH researchers have used artificial intelligence to design metamaterials that show unusual or extraordinary responses to complex loads.
• Their new AI tool deciphers the essential features of a metamaterial’s microstructure and accurately predicts its deformation behaviour.
• The tool not only finds optimal microstructures but also bypasses time-consuming engineering simulations.

Bike helmets that absorb the energy of an impact, running shoes that give you an extra boost with every step, or implants that behave just like natural bone. Metamaterials make such applications possible. Their inner structure is the result of a careful design process, following which 3D printers produce structures with optimised properties. Researchers led by Dennis Kochmann, Professor of Mechanics and Materials in the Department of Mechanical and Process Engineering at ETH Zurich, have developed novel AI tools that bypass the time-consuming and intuition-based design process of metamaterials. Instead, they predict metamaterials with extraordinary properties in a rapid and automated fashion. A novelty, their framework applies to large (so-called non-linear) loads, e.g. when a helmet absorbs major forces during an impact.

Kochmann’s team has been among the pioneers in designing small-scale cellular structures (similar to beam networks in timber-frame houses) to create metamaterials with specific or extreme properties. “For example, we design metamaterials that behave like fluids: hard to compress but easy to deform. Or metamaterials that shrink in all directions when compressed in a particular one,” explains Kochmann.

Efficient, optimal material design
The design possibilities seem endless. However, the full potential of metamaterials is far from realised, since the design process is based on experience, involving trial and error. Furthermore, small changes in the structure can give rise to huge changes in properties.

In their recent breakthrough, the researchers succeeded in using AI to systematically explore the abundant design and mechanical properties of two types of metamaterials. Their computational tools can predict optimal structures for desired deformation responses at the push of a button. Key is the use of large datasets of the deformation behaviour of real structures to train an AI model that not only reproduces data but also generates and optimises new structures. By leveraging a method known as “variational autoencoders”, the AI learns the essential features of a structure from the large set of design parameters and how they result in specific properties. It then uses this knowledge to generate a metamaterial blueprint whenever the researchers specify its desired properties and requirements.

Assembling building blocks
Li Zheng, a doctoral student in Kochmann’s group, trained an AI model using a dataset of one million structures and their simulated response. “Imagine a huge box of Lego bricks – you can arrange them in countless ways and over time learn design principles. The AI does this extremely efficiently and learns essential design features and how to assemble the building blocks of metamaterials to give them a particular softness or hardness”, says Zheng. Unlike prior approaches using a small catalogue of building blocks as the basis for design, the new method gives the AI freedom to add, remove, or move building blocks around almost arbitrarily.  Together with Sid Kumar, an assistant professor at TU Delft and a former member of Kochmann’s team, they showed in a recently published paper that the AI model can even go beyond what it has been trained to do and predict structures that are far better than anything ever generated before.

Learning from the movies
Jan-Hendrik Bastek, also doctoral student in Kochmann’s group, used a different approach to achieve something similar. He used a method originally introduced for AI-based video generation, which has become commonplace: if you type in ‘an elephant flying over Zurich’, the AI generates a realistic video of an elephant circling the Fraumünster Church. Bastek trained his AI system using 50,000 video sequences of deforming 3D-printable structures. “I can insert the trajectory of how I want the structures to deform, and the AI produces a video of the optimal structure and the complete deformation response,” explains Bastek. Most previous approaches have focused on only predicting a single image of the optimal structure. However, giving the AI videos of the entire deformation process is crucial to retain accuracy in such complex scenarios. Based on the video sequences, the AI can create blueprints for new materials, taking into account highly complex scenarios.

Big benefits for bike helmets and shoe soles
The researchers have made available their AI tools to the metamaterials community. This will hopefully lead to the design of many new and unusual materials. The tools are opening new avenues for the development of protective equipment such as bicycle helmets and for further applications of metamaterials from medical engineering to soft robotics. Even shoe soles can be designed to absorb shocks better when running or to provide a forward boost when stepping down. Will AI completely replace the manual engineering design of materials? “No,” laughs Kochmann. “Used well, AI can be a highly efficient and diligent assistant, but it must be given the right instructions and the right training – and that requires scientific principles and engineering knowhow.”

The fashion industry is massively influenced by the change in social values. Which trends can be observed and in which direction is the fashion future developing - an excerpt from the Retail Report 2023¹ by Theresa Schleicher.

The fashion industry has been slowed down by the global health pandemic and further affected by the measures taken in the wake of the Ukraine war: Fragile supply chains, increased transportation and energy costs, and rising prices are having an impact on the globalized fashion industry. Those who were moving the fastest are being hit the hardest. Fast fashion based on the principle of "faster and faster, cheaper and cheaper, more and more" - which has been in the fast lane for years - is now experiencing an unprecedented crash. Even without these momentous events, the fashion system would have reached its limits. What could have developed evolutionarily is now being revolutionized. Now and in the future, it will be particularly difficult for brands and retail companies that do not have a sharp profile or that have lost many customers in the attempt to offer mass-produced goods at prices that are still lower than those of their competitors.

New value paradigm in society - also for fashion
While fashion retailers and fashion brands are focusing on expanding online and have been putting their foot on the gas pedal since the corona pandemic at the latest, a parallel change in values is taking place in society. Many behaviors that have been practiced, tested and lived for months will continue to shape our consumer behavior and lifestyles in the future. The uncertainty in society as well as a shrinking economy and rising consumer prices as a result of the Ukraine war will further contribute to this shift in values.

The old paradigm was "primarily shaped by pragmatic factors such as price, quantity, safety and convenience, so consumer behavior was predominantly based on relatively simple cost-benefit calculations." The new value paradigm, on the other hand, is more strongly influenced by "soft factors". For example, the quality of a product is defined more holistically. In addition to price, "ecological, [...] ethical and social aspects are also taken into account. It is about positive or negative experiences that one has had with producers and about the visions that they pursue with their companies". This new value paradigm is forcing the large chain stores in particular to rethink. They have to develop their business models further in the direction of sustainability, transparency and responsibility - and show attitude. The influence of the neo-ecology megatrend combined with the push towards the sense economy is reshuffling the cards in the fashion industry.

The most important driver for the change in consumer behavior is climate protection, which is also becoming personally more important to more and more people because they are feeling the effects of climate change themselves in their everyday lives. The transition to a sustainable, bio-based and circular economy is accompanied by fundamental changes in the technical, economic and social environment.

Circular fashion as an opportunity for fast fashion
The development of the fashion industry - especially the fast fashion industry - towards a more circular economy is not a short-term trend, but one of the most long-term and at the same time forward-looking trends in retailing of all.

Even before the pandemic, a growing proportion of consumers placed value on sustainably produced clothing instead of constantly shopping the latest trends. A reset is needed, but the fashion industry faces a difficult question: How can it respond to the demand for new trends without neglecting its responsibility for the environment?

The solution for reducing emissions and conserving raw materials and resources seems obvious: produce less. On average, 2,700 liters of water are needed to produce a T-shirt - that much drinking water would last a person for two and a half years. In Europe, each person buys an average of 26 kilograms of textiles per year - and disposes eleven kilograms. Of this, almost 90 percent is incinerated or ends up in landfills. Overproduction, precarious working conditions during production and the use of non-sustainable materials are the major problems of the fast fashion industry. It is time to slow down fast fashion.

Fashion recycling by Design & Recycling as a Service
A first step towards keeping fashion and textiles in the cycle for longer is to recycle materials properly. In the future, recycling must be considered as early as the design stage - not only for sustainably produced fashion, but also for fast fashion. The H&M Group, for example, developed the Circulator for this purpose: The digital evaluation tool guides the designer through materials, components and design strategies that are best suited for the product depending on its purpose, and evaluates them in terms of their environmental impact, durability and recyclability.

However, more and more young companies are specializing in offering recycling for textiles as a service. They work directly with fashion retailers or fashion brands to enable the best possible recycling, re-circulation or even upcycling. Until now, it has not been worthwhile for large textile companies to invest in their own recycling systems. But Recycling as a Service is a market of the future, led by innovative start-ups such as Resortecs that are tackling previous hurdles in our recycling system. In the future, more and more new service providers will pop up around returns and recycling and help fashion retailers to align their material cycles more sustainably.

Secondhand conquers the fast fashion market
Another way to extend the life of clothing is to pass it on to new users. We are witnessing the triumph of vintage, retro and more - chic secondhand stores and chains like Resales and Humana are popping up everywhere. The renaming of secondhand to pre-owned or pre-loved also illustrates the increased appreciation of worn clothing. The trend toward secondhand also pays off economically for companies: The number of platforms whose business model revolves around the resale of clothing is increasing, and secondhand fashion is arriving in the middle of society. The luxury segment and especially vintage fashion are stable in price because the availability of these unique pieces is limited. Fast fashion, on the other hand, is available in sufficient quantities and is particularly interesting for price-sensitive customers, as secondhand is considered one of the most sustainable forms of consumption - meaning that fashion can be shopped with a clear conscience - and is usually even offered at a lower price than new goods. The second-hand market will continue to professionalize and become more socially acceptable. As a result, the fast fashion industry will also be forced to produce higher quality clothing in order to become or remain part of the circular system.

Slow fashion gains momentum thanks to technology
The development and orientation of fast fashion towards circular processes is also changing sustainable fashion. In the future, fast fashion and slow fashion can learn from each other to fully exploit their potential: fast fashion will become more sustainable, while slow fashion will focus on faster availability and delivery and make the customer experience as pleasant as possible. Fast and slow fashion are no longer compelling opposites - because the sustainable fashion movement can also benefit from technological innovations that are being established above all by the fashion platforms, and lift slow fashion to a new level.

At the same time, Sustainable Luxury is a new form of luxury consumption - especially in the field of designer fashion, sustainability is becoming the all-important criterion. Sustainability as a means of distinction for true luxury and sustainability as a basic prerequisite for a functioning fashion industry are increasingly converging. This is where the transition between a slowdown of fast fashion and an acceleration of slow fashion takes place.

Trend Sustainable Luxury
Luxury is defined less and less by the object and its possession and is increasingly becoming an expression of one's own lifestyle and values. Consumers' understanding of premium and luxury has changed - not least driven by the neo-ecology megatrend. In the future, it will no longer be just about owning something as expensive and ostentatious as possible. What began as a rebellion against careless consumption of luxury brands that promise high-end products but accept unfair and environmentally damaging manufacturing conditions in the process has increasingly become accepted as a value attitude. Luxury products have no less a claim than to improve the world.

Sustainable and ethical products and services made from innovative materials that have the power to solve problems and make the world a better place. At the same time, this highly ethically and morally charged form of sustainability is turning into a means of distinction: For the materials are so new, the manufacturing processes still so experimental, that the products are unique and often only available in very small quantities or on order. And this exclusive sustainability naturally comes at a price. After all, a company that pursues a mission is not concerned with simply cutting costs - certainly not at the expense of others or the environment. Instead of leather and fur, luxury fashion is now made from oranges, pineapples, hemp, cacti: there are more and more new, innovative and sustainable materials from which unique garments and accessories can be made.

Predictive, Pre-Order & Made-to-Order
Artificial intelligence and Big Data analysis can help predict fashion demand. Fast fashion leaders like Shein are characterized by agile production which is supported by AI algorithms for trend prediction fed with data from TikTok and other social media services. This could sustainably reduce overproduction and unsaleable goods in the future. As critical as Shein's practices are, the automation of processes also offers immense opportunities for a more sustainable fashion industry, as production only starts when goods are in demand.

AI support in the design process can be used to produce more sustainable fashion - and make it available more quickly. In a future of an avatar economy and in the world of virtual influencers, it may even be possible to dispense with part of the production process: Fashion will remain virtual - and thus more resource-efficient. Digital fashion will become increasingly important as the metaverse is built.

5 Key Takeaways on the Future of Fashion

1. The current crisis in the fashion industry is an opportunity to move more in the direction of circular fashion. Above all, the new value paradigm in society, understanding quality more holistically and consuming more mindfully, is providing a push towards fairer, more ecological and more social fashion. Fast fashion and sustainability are not mutually exclusive.
2. There are already first approaches to keep fast fashion in the cycle longer or to return it to the cycle. One important development is to consider recycling or reuse as early as the design and manufacturing process - known as recycling by design. In addition, there is a growing number of start-ups specializing in the optimized recycling of textiles and cooperating with major fashion players.
3. Above all, the booming online trade in used fashion, often communicated as the pre-loved or pre-owned category, is making secondhand respectable for the mainstream. Such fashion, with a story and an aura of uniqueness, is also a cost-effective but more sustainable alternative to fast fashion.
4. But slow fashion is also changing, especially due to the dominance of new technologies. Slow fashion can also benefit from processes that are currently manifesting themselves in the online fashion market, such as fast delivery or pre-order services. Slow fashion thus becomes more convenient, better and faster available. It will be easier for sustainably oriented fashion enthusiasts to consume according to their values and attitudes.
5. The trend toward sustainable luxury continues: Sustainability as a means of distinction for a new form of luxury enables alternative manufacturing processes and innovative materials in the luxury fashion market. These are being showcased by an avant-garde and, if they prove successful, adapted by fast fashion.

¹ https://onlineshop.zukunftsinstitut.de/shop/retail-report-2023/

From 24-hour deliveries, status tracking and green packaging to textile recycling and innovative cleaning technology: new services have the potential to revolutionise the business of dry cleaners and laundries. Against this background, Messe Frankfurt invites start-ups to present their products and ideas at Texcare International. The world’s most important event for the textile-care sector in Frankfurt am Main from 27 November to 1 December 2021 offers young entrepreneurs outstanding opportunities to draw the market’s attention to their innovations.

The demands placed by both private and commercial customers on textile care are extremely high, especially in terms of speed, immediate availability, transparent communication and sustainable solutions. In this connection, Johannes Schmid-Wiedersheim, Director of Texcare International at Messe Frankfurt, says, “Start-ups have an important role to play when it comes to promoting digitalisation and sustainability in the world of textile care. In many cases, they succeed quickly in transforming the results of scientific research or trends from other sectors into useful projects. To support this, we want specifically to promote young, agile companies at Texcare International and offer them an attractive ‘Start-up Package’.”

Digital platforms offer dry cleaners and laundries an opportunity to promote their services online in a modern way. Summarising what makes these platforms so important, Daniel Dalkowski, Managing Director of the European Research Association for Innovative Textile Care (EFIT), says, “Digital platforms are undoubtedly one of the most important achievements of recent times – not just because there are so many of them but also because they have found imitators in the sector. In this case, the innovation is to be seen in a combination of ordering, flexible logistics and billing in a smartphone app or online platform.”

With their robotics solutions and bright ideas for artificial intelligence, IT start-ups help textile care companies on their way to becoming smart laundries. Elgar Straub, Managing Director, VDMA Textile Care, Fabric and Leather Technologies, explains how machine and plant manufacturers have benefited from their input: “In the field of mechanical engineering, an important role is played by start-ups offering technical solutions covering a broad spectrum of sectors, e.g., virtual machine commissioning and the optimisation of production process chains.”

Naturally, company founders in other disciplines are also putting forward their ideas. Against the background of the plastic waste debate, there are, for instance, numerous start-ups offering biodegradable packaging materials. As well, there are start-ups in the field of textile recycling, which process used workwear or laundry and thus contribute to the circular economy. And what does the future hold for the sector? One thing is for the experts certain: artificial intelligence and automation offer a great potential for ‘outsiders’ with genuine innovations to gain a foothold in the market. Improvements in the logistics chain of laundries and dry cleaners also have excellent chances of success.

Market entry at Texcare International Texcare
International from 27 November to 1 December 2021 offers start-ups an outstanding opportunity to draw attention to their services and to make contact with established companies. The Start-up Package of Messe Frankfurt includes a turnkey exhibition stand.

The prerequisites for participation:

• The company was founded no more than ten years ago per 27 November 2021
• The company employs max. ten people.
• The annual turnover does not exceed € 1 million (net).
• The start-up offers innovative products or services especially for the textile-care sector.

The product spectrum of Texcare International embraces machines and plant, laundry and cleaning substances, IT and logistics solutions and workwear and laundry.

The productivity of a laundry depends on unbroken process flows and transparent commodity streams. Thanks to increasing digitalisation and consistent integration of data, the through-put of textiles in laundries is being continually improved. The solutions required for automation in the sector are therefore a high priority at Texcare International, from 20 to 24 June in Frankfurt am Main.
 
The be-all and end-all for the laundry sector is the ability to monitor the quantity, quality and storage location of the textiles that are circulating on site, at all times. The data collected form the basis for precise price calculations, throw up any weak points in the system and serve to provide documentation for third parties. But it is only when all the machinery and plant involved in a given textile service are interlinked on a single network that the logistics of the laundry service run seamlessly, with minimal down-time of the machinery, reduced quantities in circulation and the resultant increase in productivity that is closely associated with it.

Transparent tracking for each individual laundry item
Automation in the processing of workwear is already well advanced. As the dirty laundry is sorted on arrival, each item is recorded using an identification system such as a barcode or RFID technology. From this moment on, all the stages that the textiles undergo are controlled. ‘Readers’ or ‘gates’ on the premises enable each item to be recorded as it progresses through the system, right up to the point of order picking; and they monitor whether an item is sent to a repair station or directed into storage. In addition, high-frequency transponders (UHF tags) can monitor the movements of laundry items outside of the laundry: in hospitals, for instance, identification systems have been installed, which record the despatch and return of apparel and enable an extensive process of textile management via data transfer procedures.

Robots for the soiled laundry area
This already high degree of automation in a workwear laundry facility is, however, capable of still further refinement. Artificial intelligence can simplify the ‘dirty’ work in the reception area: robots separate and sort the soiled clothing and x-ray machines, cameras and metal detectors are used to identify any foreign bodies. The advantages of such systems are particularly in evidence in hospital laundries: medical instruments, which regularly find their way into the laundry bags, are automatically separated from the clothing, thus minimising damage to the items themselves and to the machinery. The useful life of the textiles is extended and costs are reduced. Moreover, there is no danger of infection for the staff.

Real-time laundry processes
Whilst individual control and traceability are already widespread in the professional treatment of work apparel, when it comes to flat linen, often only generalisations about quantity, quality and storage location for the textiles are possible. “In order to assess a business’s efficiency, calculate prices and efficiently control processes and procedures, laundries need reliable figures […],” observes Martin Rauch, CSO of the Jensen Group, who operate on a worldwide basis.

In the pursuit of automated production, ultra-modern information and communications technologies assume a key role. They synchronise the machines involved in a given production process and facilitate communication and cooperation between plant, product and the human being. This way, you get self-organising, flexible production with unbroken processes and high levels of utilisation of equipment. With the synchronisation of commodity streams and information flow in the laundry, all items arrive at the right processing station at the appropriate time. A central database controls all the processes in the entire laundry, regulates the machinery and the linked sub-systems, chooses the correct processing programmes and optimises machine use.
 
Data accompanies the laundry throughout
“Trolleys of laundry standing around, waiting times at the machines, excessive buffering and time spent searching for items are all lost capital […],” says Matthias Schäfer, who is responsible for product management, laundry logistics / smart laundry at Kannengiesser (Vlotho).

When data and goods flows are successfully synchronised throughout a flat-linen laundry, each washing station contributes its information along with that of other stations, right from the initial sorting of the soiled linen through to the folding machines. The laundry can, therefore, be monitored throughout the entire operation, as the information from each station is sent on with the item, either automatically or – after the drier – in the form of bar-coded labels. (“Stabilisation of production through the synchronisation of material and production flows.”)

RFID identification systems do indeed enable complete transparency to be built into the passage of goods through the various stages, as each chip or tag carries the necessary information for each individual item. In view of the high cost of the transponders, ‘chipping’ of flat linen is, however, currently an option for only very few laundries. So the textile care sector is waiting on more economical, more functionally reliable solutions from the machinery and plant manufacturers.
 
Smart to the very end of the chain
Further potential for automation resides in the picking and packaging. Collecting together items for delivery manually is subject to error and that leads to customer complaints. With intelligent storage facilities and transport solutions, smart stacking management and the networking of equipment with the laundry’s information system, order picking becomes simpler, quicker and more reliable. To ensure that the integration can function, modern machines are equipped with interfaces, so that each new installation can be linked seamlessly into a laundry’s existing system. The same goes for accessory machines, which exchange all the important information relating to preparation and repair online.

User friendly apps
Digital developments are not only large scale: they are to be found on a smaller scale as well. For launderettes, too, apps provide important information on the status of the equipment, enable operators to see what is going on, even at considerable distances, as well as being able to provide digital payment models. Moreover, in heavily used laundry facilities, they can take on the entire job of time management, as Andreas Barduna, Head of Business Management, Miele Professional (Gütersloh) is very aware.

At Texcare International, from 20 to 24 June 2020, machinery and plant manufacturers from all over the world will be presenting their smart solutions for the laundries of tomorrow. The focus will be very much on artificial intelligence and smart information systems, which will help maximize the degree of automation within the sector.