Tag: Robots

Featured Article : Ukraine Says Robots Seized Enemy Territory On Their Own

Posted on by Paul Stradling

Ukraine says it has carried out the first combat operation in history where enemy territory was captured entirely using robots and drones, signalling a major turning point in how future wars may be fought.

How Ukraine Says Robots Captured Enemy Positions

The claim was made by Ukrainian President Volodymyr Zelensky when he announced that Ukrainian forces had seized an enemy position using only unmanned systems, without infantry entering the battlefield.

According to Zelensky, drones and robotic ground systems identified targets, suppressed enemy fire, and secured the position without Ukrainian casualties. Ukraine’s military has not released detailed operational information, and the full claim has not been independently verified. However, the announcement has attracted global attention because it points towards a battlefield where machines increasingly replace soldiers in frontline combat roles.

The operation reportedly involved a combination of aerial drones and unmanned ground vehicles working together as coordinated systems rather than isolated devices. Analysts say this type of “multi-swarm” warfare allows militaries to overwhelm positions while reducing risk to personnel.

In a statement published alongside footage of the operation, Zelensky said: “For the first time in the history of this war, an enemy position was taken exclusively by unmanned platforms – ground systems and drones.”

Why Ukraine Has Become A Testing Ground For Military Robotics

The war in Ukraine has accelerated military technology development at a pace rarely seen in modern conflicts. Systems that would normally take years to test and deploy are now being modified, upgraded, and returned to combat within weeks.

UFORCE, the Ukrainian-British defence technology company linked to the operation, was formed through the merger of nine Ukrainian defence companies and has now achieved a valuation exceeding $1 billion, making it Ukraine’s first defence technology unicorn. The company develops air, land, and sea drones, alongside battlefield software designed to coordinate unmanned systems during combat.

Its maritime drones have reportedly damaged or destroyed multiple Russian naval assets in the Black Sea, while its ground systems are increasingly being used for reconnaissance, logistics, mine clearance, casualty evacuation, and direct attacks.

The company says it has now conducted more than 150,000 combat missions since Russia’s full-scale invasion in 2022, reflecting how rapidly unmanned systems have become central to modern warfare.

Ukraine’s wider drone production has also expanded dramatically, increasing from a few thousand units in 2022 to several million by the end of 2025, turning the country into one of the world’s largest real-world testing grounds for autonomous military systems.

How The Wider Defence Industry Is Responding

Ukraine is not alone in pushing towards more autonomous warfare systems. Defence technology companies across the United States, Europe, China, and Israel are investing heavily in AI-enabled drones and robotic systems.

US company Anduril Industries recently tested an autonomous fighter jet and is building a major manufacturing facility in Ohio designed to scale production of military drones and autonomous systems. Germany’s Helsing is combining military AI with battlefield analytics software, while Chinese companies are rapidly expanding AI-enabled military technologies with strong state support.

The defence sector itself is also changing. Traditional contractors such as BAE Systems and Lockheed Martin increasingly face competition from technology-focused startups that develop software-defined systems far more quickly than conventional military procurement programmes allow.

UFORCE has openly framed this as part of a broader industrial transformation. The company states that “the age of unmanned warfare is no longer a conference-circuit prediction” and has become an operational and commercial reality.

How Battery Technology Also Fits Into This Story

The growing role of battlefield robots also highlights another practical challenge, which is how these machines are powered in demanding real-world conditions.

This is where developments outside defence can quickly become relevant. For example, Cambridge battery company Nyobolt has developed ultra-fast charging batteries designed for autonomous machines, warehouse robots, physical AI systems, and AI data centres. The company says its technology can charge from zero to 80 per cent in under five minutes and is built for repeated, high-intensity charging cycles.

Nyobolt’s work is not about the battlefield directly, but it shows how the wider robotics ecosystem is developing around the same core problem: autonomous machines need reliable power, rapid charging, and long operating life if they are to work continuously. In warehouses, that means robots spending more time moving goods and less time charging. In military settings, the same principle could shape how future unmanned systems are designed, deployed, and sustained.

This matters because the future of autonomous robotics will not depend on AI alone. Batteries, sensors, communications, materials, and manufacturing capacity will all play a part in determining which systems can operate reliably at scale.

The Ethical Questions Around Autonomous Warfare

The growing use of AI and robotic systems in combat is also intensifying concerns about accountability, ethics, and human oversight.

At present, most battlefield robots still require human operators to approve attacks or direct operations. However, many systems already use software-assisted targeting, autonomous navigation, and machine-learning tools to accelerate combat decisions.

Human rights organisations and international bodies have warned that increasing autonomy risks reducing human accountability in life-and-death situations. Concerns include how responsibility is assigned if autonomous systems malfunction or cause civilian casualties.

At the same time, defence companies argue that automation can reduce human error, improve reaction times, and protect soldiers from increasingly dangerous battlefield conditions.

The United Nations has discussed possible international controls on autonomous weapons, but no binding global framework currently exists despite growing calls for regulation.

What Does This Mean For Your Business?

For most UK businesses, robotic warfare may appear distant from everyday operations, but the technologies emerging from Ukraine are likely to influence far more than defence.

Many of the systems now being refined on the battlefield rely on AI, machine vision, autonomous navigation, secure communications, sensor fusion, and real-time data processing. It is worth noting here that these same technologies are also increasingly used in civilian sectors including logistics, manufacturing, transport, infrastructure monitoring, and cybersecurity.

The conflict is also accelerating investment into robotics and AI across Europe and the United States, creating commercial opportunities for companies involved in software engineering, semiconductors, communications systems, drones, sensors, and advanced manufacturing.

Also, the rapid militarisation of AI is likely to increase regulatory scrutiny around autonomous systems more broadly, particularly where safety, accountability, and decision-making are involved. Businesses developing AI-enabled products may therefore face growing expectations around transparency, oversight, and ethical controls.

Russia’s war against Ukraine is no longer only reshaping modern warfare. It has also become one of the world’s fastest-moving testing grounds for autonomous technology, with the systems emerging from the conflict likely to influence both defence and civilian industries for years to come.

Company Check : 1X California Factory To Produce 10,000 Home Robots

Posted on by Paul Stradling

OpenAI-backed 1X Technologies has opened a California factory to build its NEO humanoid robot at scale, marking one of the clearest attempts yet to move home robots from futuristic demos into real consumer use.

Why 1X Is Scaling Home Robots Now

1X Technologies, a Norway-founded robotics company now based in California, has opened a 58,000 sq ft factory in Hayward with capacity to build up to 10,000 NEO robots a year, with plans to scale towards more than 100,000 units annually by the end of 2027. The company says demand has already been strong, stating that it “booked out our entire production capacity for the next year in just 5 days (10,000 NEOs).”

NEO is designed as a general-purpose home robot rather than a factory machine, with 1X positioning it as a household assistant that can learn tasks, move safely around people, and provide conversational support. Early access pricing has been reported at $20,000, with a subscription option around $499 per month, placing it firmly in early-adopter territory rather than the mainstream consumer market.

What Makes This Factory So Important

The significance of the Hayward factory lies in 1X’s attempt to control more of the robot’s production process in-house, rather than relying mainly on external suppliers. The company describes the site as “America’s first vertically integrated high-volume humanoid robot factory,” producing key components including motors, batteries, structures, transmission systems, sensors, and soft materials.

That matters because humanoid robots are still changing quickly. Manufacturing components internally should allow 1X to test, redesign, and improve parts faster as real-world feedback comes in from internal testing and early customers. As 1X puts it, “Most people think humanoids are a robotics problem. They’re wrong. It’s a manufacturing problem. Production makes prototypes look easy.”

Why Home Robots Are So Difficult To Build

Building a robot that can work in a private home is much harder than building one for a controlled factory floor. Homes are unpredictable, with different layouts, furniture, lighting, pets, children, clutter, and daily routines that do not follow a fixed industrial pattern.

1X appears to recognise that challenge, stating that “there is a lot that goes into creating the first ever humanoid consumer product experience” and that the product must be tested, improved, and packaged for customers who have “paid good money for a life-changing experience.” The company has also said, “We promised the first NEOs would ship in 2026, and we’re keeping that promise.”

The Competitive Landscape

The market around 1X is becoming crowded, with Tesla, Figure AI, Agility Robotics, Apptronik, Unitree, Agibot, UBTech, and others all developing humanoid robots for different use cases. Tesla’s Optimus is probably the most high-profile rival, but it is still primarily being tested inside Tesla’s own operations rather than sold broadly to consumers.

Agility Robotics’ Digit is already focused more clearly on logistics and warehouse work, while Figure AI has been targeting industrial and commercial deployments with partners such as BMW. Chinese companies including Unitree and UBTech are also moving quickly, often with lower-cost robots and strong manufacturing capacity, though many are aimed more at research, demonstration, or industrial use than general household assistance.

What makes 1X different is its consumer-first positioning. While many competitors are starting with factories, warehouses, or enterprise environments where tasks are more predictable, 1X is trying to put humanoid robots directly into homes, which could be more transformative but also much harder to make reliable.

What This Means For The Future Of Robotics

The move from prototypes to production is an important test for the whole humanoid robotics sector. Impressive videos can generate attention, but real adoption depends on whether robots can work safely, consistently, and usefully in ordinary environments.

The question is not whether NEO can perform selected tasks in controlled demonstrations. The real test is whether it can help enough in real homes to justify the cost, deal with unpredictable situations, and improve over time without frustrating users.

If 1X succeeds, home robots could begin to follow a path similar to early electric cars, starting as expensive, limited early-adopter products before becoming more capable and affordable as production improves. If it struggles, the market may move more slowly through enterprise settings before reaching the home.

What Does This Mean For Your Business?

For UK businesses, the immediate impact is not that humanoid robots will suddenly appear in every home or workplace, but that robotics is moving closer to practical deployment at scale. Organisations in care, facilities management, logistics, hospitality, retail, and property services should be watching this closely because many of the same capabilities being developed for homes could eventually apply to workplaces.

The wider business relevance sits in automation, workforce planning, and service delivery. Robots that can move safely around people, understand instructions, and handle varied physical tasks could eventually support cleaning, stock movement, basic maintenance, customer assistance, or care-related activities.

There are also important questions around safety, liability, privacy, cybersecurity, and staff acceptance. Any organisation considering robotics in future will need to understand not only what the machines can do, but how they collect data, how they are updated, who is responsible when something goes wrong, and how they fit into existing teams.

For now, 1X’s factory is less a guarantee that home robots are about to become mainstream and more a sign that the industry is entering a more serious phase. Businesses that start understanding the technology now will be better prepared if humanoid robots move from novelty to practical tool over the next few years.

Company Check : Tesla Repositions Its Future Around Robots Rather Than Cars

Posted on by Paul Stradling

Tesla confirmed it was winding down parts of its car business as Elon Musk publicly repositioned the company around humanoid robots, artificial intelligence and autonomy rather than electric vehicles alone.

Tesla Drops Model S And X As Focus Shifts Beyond Cars

Tesla has said it will end production of the Model S and Model X and repurpose the manufacturing space at its Fremont, California plant to build its Optimus humanoid robots, marking the clearest signal yet that the company’s future strategy is moving away from premium car models.

Speaking on Tesla’s latest earnings call, Elon Musk said the space currently used to build the two vehicles would be converted into an Optimus production facility, with a long-term ambition of producing up to one million robots a year at the site. He described the change as part of Tesla’s broader shift towards what the company now calls “physical AI”.

The Model S and Model X were once central to Tesla’s rise, helping establish the brand in the early and mid-2010s. In recent years, however, both vehicles had become low-volume products compared with the Model 3 and Model Y, which now account for the majority of Tesla’s car sales.

Tesla said it would continue supporting existing Model S and Model X customers despite the end of production.

Why Tesla’s Core EV Business Came Under Pressure

The strategic change of direction came after a difficult year for Tesla’s automotive business, shaped not only by market conditions but also by growing scrutiny of Elon Musk’s leadership and public profile. The company reported total revenue fell 3 per cent in 2025, its first annual decline in revenue, while vehicle deliveries dropped by about 9 per cent to roughly 1.64 million cars worldwide.

The slowdown was particularly visible at the end of the year, with Tesla saying deliveries fell around 16 per cent year on year in the fourth quarter, reflecting weaker demand, intensifying competition and the impact of reduced government incentives in the United States. Analysts also pointed to rising unease among parts of Tesla’s traditional customer base following Musk’s increasingly high-profile political involvement, which included public support for US President Donald Trump and a senior cost-cutting role in his administration.

During the same period, China-based BYD overtook Tesla as the world’s largest seller of battery electric vehicles by volume, reporting more than 2.25 million BEV sales in 2025, up almost 28 per cent year on year. Chinese manufacturers including BYD, Geely and MG continued to pressure Western carmakers by offering a wider range of lower-priced models, while Tesla faced criticism for a relatively ageing vehicle line-up and a slower pace of major new car launches.

Tesla’s earnings update showed that while automotive revenue weakened, other parts of the business performed more strongly, with energy generation and storage revenue rising about 25 per cent year on year in the fourth quarter and services revenue increasing around 18 per cent, highlighting areas of growth beyond car sales as the company recalibrated its strategy.

How Musk Reframed Tesla’s Future Around Robots

Against that backdrop, Musk has been framing Tesla as an AI and robotics company rather than a car manufacturer. For example, in investor materials, Tesla described 2025 as a pivotal year in its transition from a hardware-led business to one centred on artificial intelligence deployed in the physical world.

Optimus

Optimus, Tesla’s humanoid robot programme first unveiled in 2021, has now become central to that narrative. Tesla said the robot is already performing limited tasks inside its factories, such as sorting objects and handling materials, though it remains far from Musk’s long-term vision of a general-purpose household robot.

In fact, Musk has repeatedly claimed Optimus could eventually perform a wide range of jobs, from factory work to domestic tasks, and has described it as more significant to Tesla’s future than vehicles over time. At the World Economic Forum in January, he said Tesla would probably begin selling humanoid robots to customers by the end of 2027, once safety and reliability reached an acceptable level.

Tesla told investors it plans to reveal a third-generation Optimus design in early 2026, describing it as the first version intended for mass production, with manufacturing expected to begin before the end of that year.

The Financial Stakes Behind The Robot Push

The move towards robotics also carries major financial implications for Tesla and Musk personally. For example, Tesla disclosed it had invested $2bn in Musk’s AI start-up xAI, while also signalling a sharp increase in capital spending, with guidance pointing to more than $20bn of investment in 2026.

That spending is expected to support multiple projects, including Optimus production, robotaxi development, battery manufacturing and AI infrastructure.

It’s worth noting here that Musk’s much publicised record-breaking pay package, approved by shareholders in late 2025, is also closely tied to Tesla delivering new growth drivers beyond car sales. Under the terms of the deal, Musk must significantly increase Tesla’s market value over the next decade, with Optimus and autonomous services positioned as central to that ambition.

Tesla has said its long-term targets include selling up to one million humanoid robots over ten years, a goal Musk has described as achievable if production and costs scale as planned.

Why Humanoid Robots Are A Riskier Bet Than EVs

Despite Tesla’s confidence, many experts view humanoid robots as one of the most difficult challenges in modern engineering. For example, unlike industrial robots designed for controlled environments, humanoids must combine balance, dexterity, perception and decision-making while operating safely around people in unpredictable settings.

Estimates of the potential market vary widely. Analysts at McKinsey have suggested a base-case market for general-purpose robotics of around $370bn by 2040, while other banks have forecast multi-trillion-dollar outcomes over longer timeframes if humanoids become widely adopted.

Supporters argue Tesla has relevant advantages, including experience in mass manufacturing, vertical integration across hardware and software, and expertise in motors and battery systems. Tesla has said those strengths allow it to iterate designs quickly and reduce costs as production scales.

However, critics say that the competitive landscape is far more crowded than when Tesla entered the EV market. For example, more than 90 companies are now developing humanoid robots, including established robotics firms, well-funded startups and technology giants supplying chips and AI platforms.

Questions have also been raised about whether consumer-facing humanoid robots will ever prove practical or affordable at scale, and whether Tesla’s ambitious timelines repeat a pattern seen in previous Musk-led projects, where public targets were missed or delayed.

Political Headwinds And Brand Risk

Tesla’s shift has unfolded alongside growing political and reputational challenges. For example, as noted earlier, Musk’s high-profile political involvement, including DOGE and his support for US President Donald Trump, has polarised public opinion and triggered protests and vandalism at Tesla dealerships in several countries.

Some investors and analysts have actually questioned whether that controversy could affect demand not only for Tesla’s cars, but also for any future consumer robot products, particularly if Optimus is positioned for home use.

Musk has acknowledged scepticism around Tesla’s ambitions but has maintained that the company is pursuing what it believes are the most important long-term technological opportunities, even if progress takes longer than expected.

What Does This Mean For Your Business?

Tesla’s decision to scale back parts of its car business in favour of robotics and AI signals a clear attempt to reset its long-term growth strategy. The move places Optimus and autonomous systems at the centre of Tesla’s future valuation, even though both remain technically complex, capital intensive and commercially unproven at scale.

For investors, suppliers and regulators, this has reframed Tesla less as a cyclical carmaker and more as a long-horizon technology bet, with outcomes likely to hinge on execution rather than vision alone. Success will require Tesla to solve problems in robotics that the wider industry has struggled with for decades, while managing near-term pressure on its automotive revenues and brand.

For UK businesses, the implications are more practical than speculative. For example, if humanoid robots move beyond pilot use in factories, logistics and warehousing, they could reshape labour planning, automation strategies and capital investment decisions over the next decade. At the same time, the uncertainty around timelines and costs reinforces the need for caution, with most analysts expecting meaningful deployment to arrive gradually rather than through rapid disruption.

More broadly, Tesla’s pivot shows how closely modern technology companies are now shaped by leadership choices, political context and investor expectations, not just product roadmaps. Whether Optimus becomes a transformative platform or an overextended ambition, Tesla’s repositioning reflects wider changes in how growth, risk and innovation are being recalibrated across the global technology and manufacturing landscape.

Sustainability-In-Tech : Robots Refurbish Your Old Laptops

Posted on by Paul Stradling

A research team in Denmark is building an AI‑driven robot to refurbish laptops at scale, offering a practical route to reduce e‑waste while creating new value for businesses.

RoboSAPIENS

At the Danish Technological Institute (DTI) in Odense, robotics researchers are developing a system that uses computer vision, machine learning and a robotic arm to automate common refurbishment tasks on used laptops. The project is part of RoboSAPIENS, an EU‑funded research initiative coordinated by Aarhus University that focuses on safe human‑robot collaboration and adaptation to unpredictable scenarios.

DTI’s contribution to the programme centres on robot-assisted remanufacturing. The goal is to design systems that can adapt to product variation, learn new disassembly processes, and maintain high safety standards even when faced with unfamiliar conditions. DTI’s Odense facility hosts dedicated robot halls and test cells where real‑world use cases like this are trialled.

What The Robot Can Do And How It Works

The DTI prototype has been trained to carry out laptop screen replacements, a time‑consuming and repetitive task that requires precision but often suffers from low labour availability. The system does this by using a camera to identify the laptop model and selects the correct tool from a predefined set. It then follows a sequence of learned movements to remove bezels, undo fixings, and lift out damaged screens for replacement.

The robot currently handles two laptop models and their submodels, with more being added as the AI’s training expands. Crucially, the system is designed with humans in the loop. For example, if it encounters unexpected variables, such as an adhesive where it expects a clip, or a screw type it hasn’t seen, it alerts a technician for manual intervention. This mixed‑mode setup allows for consistent output while managing the complexity of real‑world devices.

The Size And Urgency Of The E‑Waste Problem

Electronic waste / E‑waste is the fastest‑growing waste stream in the world. E-waste typically refers to items like discarded smartphones, laptops, tablets, printers, monitors, TVs, cables, chargers, and other electrical or electronic devices that are no longer wanted or functioning. The UN’s 2024 Global E‑Waste Monitor reports that 62 million tonnes of electronic waste were generated globally in 2022, with less than 25 per cent formally collected and recycled. If current trends continue, global e‑waste is expected to reach 82 million tonnes by 2030. That is roughly equivalent to 1.5 million 40‑tonne trucks, enough to circle the Earth.

Unfortunately, the UK is among the highest generators of e‑waste per capita in Europe. Although progress has been made under the WEEE (Waste Electrical and Electronic Equipment) directive, much of the country’s used electronics still go uncollected, unrepaired or end up being recycled in ways that fail to recover valuable materials.

The Benefits

For IT refurbishment firms and IT asset disposition (ITAD) providers, robotic assistance could offer some clear productivity gains. Automating standard tasks such as screen replacements could reduce handling time and increase throughput, while also reducing strain on skilled technicians who can instead focus on more complex repairs or quality assurance.

Mikkel Labori Olsen from DTI points out that a refurbished laptop can actually sell for around €200, while the raw materials reclaimed through basic recycling may only be worth €10. As Olsen explains: “By changing a few simple components, you can make a lot of value from it instead of just selling the recycled components”.

Corporate IT buyers also stand to benefit. For example, the availability of affordable, high‑quality refurbished laptops reduces procurement costs and supports carbon reporting by lowering embodied emissions compared to buying new equipment. For local authorities and public sector buyers, refurbished devices can also be a practical tool in digital inclusion schemes.

Manufacturers may also see long‑term benefits. As regulation around ‘right to repair’ and product lifecycle responsibility tightens, collaborating with refurbishment programmes could help original manufacturers retain brand control, limit counterfeiting, and benefit from downstream product traceability.

Challenges Technical Barriers

Despite its promise, robotics in refurbishment faces multiple challenges and barriers. For example, one of the biggest is product variation. Devices differ widely by brand, model, year and condition. Small differences in screw placement, adhesives, or plastic housing can trip up automation systems. Expanding the robot’s training set and adaptability takes time and requires high‑quality datasets and machine learning frameworks capable of generalisation.

Device design itself is another barrier. For example, many modern laptops are built with glued‑in components or fused assemblies that make disassembly difficult for humans and robots alike. While new EU rules will require smartphones and tablets to include removable batteries by 2027, current generation devices often remain repair‑hostile.

Safety is also critical. Damaged batteries in e‑waste can pose serious fire risks. Any industrial robot working with used electronics must be designed to detect faults and stop operations immediately when hazards are detected. The DTI system integrates vision and force sensors and follows strict safety protocols to ensure safe operation in shared workspaces.

Cost also remains a factor. For example, integrating robotic systems into refurbishment lines requires upfront investment. Firms will, therefore, need a steady supply of similar product types to ensure return on investment. For this reason, early adopters are likely to be larger ITAD providers or logistics firms working with bulk decommissioned equipment.

Global Trend

The Danish initiative forms part of a wider movement towards circular electronics, where products are repaired, reused or repurposed instead of being prematurely discarded.

Elsewhere in Europe, Apple continues to scale up its disassembly robots to recover rare materials from iPhones. These systems, including Daisy and Taz, can disassemble dozens of iPhone models and separate valuable elements like tungsten and magnets with high efficiency.

In the UK, for example, the Royal Mint has opened a precious metals recovery facility that uses clean chemistry to extract gold from discarded circuit boards. The plant, which can process up to 4,000 tonnes of material annually, uses a technology developed in Canada that avoids the need for high‑temperature smelting and reduces waste.

Further afield, AMP Robotics in the United States is deploying AI‑driven robotic arms in e‑waste sorting facilities. Their systems use computer vision to identify and pick electronic components by material type, size or brand, improving the speed and accuracy of downstream recycling processes.

Also, consumer‑focused companies such as Fairphone and Framework are also playing a role. Their modular designs allow users to replace key components like batteries and displays without specialist tools, reducing the refurbishment workload and making devices more accessible to end‑users who want to repair rather than replace.

Policy And Design Are Starting To Align With The Technology

It’s worth noting here that policy support is helping these innovations gain traction. For example, the EU’s Right to Repair directive was adopted in 2024, thereby giving consumers the right to request repairs for a wider range of products, even beyond warranty periods. Also, starting this year, smartphones and tablets sold in the EU will carry repairability scores on their packaging and, by 2027, batteries in all portable devices sold in the EU must be removable and replaceable by the user.

These regulatory changes aim to create an ecosystem where repair becomes normalised, standardised and commercially viable. For AI‑powered refurbishment systems like the one being developed in Denmark, the effect is twofold, i.e., devices will become easier to work with, and customer demand for professionally refurbished goods is likely to grow.

What Does This Mean For Your Organisation?

Robotic refurbishment, as demonstrated by the Danish system, could offer a realistic way to retain value in discarded electronics and reduce unnecessary waste. Unlike generalised recycling, which often produces low-grade materials from destroyed components, this approach focuses on targeted interventions that return functioning devices to market. For ITAD firms, the commercial case lies in increasing throughput and reliability while maintaining quality. For policymakers, it provides a scalable, auditable method to extend product life and reduce landfill. And for consumers and procurement teams, it promises more affordable and sustainable options without compromising performance.

The key to unlocking these benefits is likely to be adaptability. For example, in refurbishment settings, no two devices are ever quite the same. Variations in hardware, wear, and prior use demand systems that can recognise what they are working with and adjust their actions accordingly. The Danish project appears to directly address this by blending AI recognition with human oversight. It’s not about replacing skilled workers, but about using automation to remove tedious, repetitive tasks that slow down throughput and cause bottlenecks.

For UK businesses, the implications are increasingly relevant. Many corporate IT departments are under pressure to decarbonise procurement and demonstrate compliance with sustainability goals. Refurbished devices, when done well, offer a lower‑cost, lower‑impact alternative to new equipment. If robotic systems can scale this model and deliver consistent quality, they may help more UK organisations include reuse as part of their IT lifecycle planning. In parallel, IT service providers that adopt this kind of automation may gain a competitive edge by increasing service volume while managing rising labour costs.

Manufacturers, meanwhile, will need to keep pace with changing expectations around design for repair. As regulation tightens and customer preferences shift, it is no longer enough to produce devices that work well out of the box. The full product lifecycle, including second‑life refurbishment, is coming into scope, and robots like those at DTI could help bridge the technical gap between design limitations and sustainable reuse.

Although the Danish system sounds innovative and promising, it’s certainly not a silver bullet, and there are still challenges in economics, safety, and system complexity. However, with the right training data, safety protocols, and regulatory backing, robotic refurbishment may have the potential to become a practical part of the circular economy, not just in Denmark, but across industrial repair centres, logistics hubs and IT recovery operations worldwide.

Sustainability-In-Tech : Robots Cut Strawberry Pesticides

Posted on by Paul Stradling

A new wave of farm automation is aiming to cut chemical use in food production, led by California-based TRIC Robotics, whose UV-powered robots are helping strawberry growers tackle pests and disease without pesticides.

Tackling One of the Dirtiest Fruits on the Shelf

Strawberries may be a consumer favourite, but they’re also among the most chemically treated fruits in commercial farming. For example, according to the US-based non-profit Environmental Working Group’s 2024 “Dirty Dozen” list, strawberries once again topped the rankings for the highest levels of pesticide residue found on produce in the US. Despite growing demand for organic alternatives, conventional pest control practices in strawberry production remain heavily reliant on chemical sprays, often applied multiple times per week throughout the season.

It’s this issue that San Luis Obispo-based TRIC Robotics set out to address with a radically different approach. For example, rather than spraying crops with synthetic chemicals, the ag-tech company is using ultraviolet (UV-C) light, applied by autonomous robots operating at night, to kill pathogens and deter pests. Early results suggest the method could significantly reduce pesticide use on commercial farms while improving yield and sustainability.

Who Is Behind TRIC Robotics?

TRIC Robotics was founded in 2017 by Adam Stager, who holds a PhD in robotics. The company originally focused on developing mobile robots for law enforcement but pivoted towards agriculture in 2020 after Stager began exploring how automation could be applied to more socially impactful sectors. Through a US Department of Agriculture (USDA) commercialisation programme, he was introduced to dormant UV-light research that had not yet reached the field.

“I really wanted to do something that would have meaningful impact,” Stager told TechCrunch earlier this year. “When I discovered the potential of UV-C for farming, I saw a way to improve food production while reducing harm.”

Alongside co-founders Vishnu Somasundaram and Ryan Berard, TRIC began trialling early prototypes in strawberry fields along the US West Coast. The first robot was built in Stager’s garage and transported cross-country to farms in California, where the majority of US strawberries are grown. Since those early experiments in 2021, the company has expanded to nine robots and secured contracts with several major growers.

How the Technology Works

The system centres around large, tractor-sized autonomous robots, named Eden and Luna, which use UV-C light to control fungal and bacterial pathogens as well as insects such as spider mites. UV-C light, a short-wavelength ultraviolet radiation, damages the DNA of microorganisms, disrupting their ability to reproduce.

The robots operate exclusively at night, when UV-C is most effective and when plants are less vulnerable to stress. Each robot is equipped with adjustable booms, dosing systems, and high-resolution cameras for precision treatment. They can cover 50 to 100 acres each, moving independently through rows and adjusting to uneven terrain and plant height in real time. Vacuum systems are also fitted to remove pest residue and insects from leaves without damaging the crop.

Robots As-A-Service?

Instead of selling robots to farmers outright, TRIC offers a subscription-style “service model” in which robots are delivered, managed, and maintained by the company. Farmers pay roughly the same as they would for conventional spraying but avoid the need for pesticides, re-entry delays, or additional labour.

Environmental and Operational Benefits

The approach offers a clear environmental upside, which is reduced pesticide use. This, in turn, means less chemical runoff into soil and waterways, lower risk to pollinators and other beneficial insects, and fewer residues on produce. It also supports growers aiming to meet organic standards or export restrictions tied to pesticide levels.

From a business perspective, the robots improve consistency, reduce re-spray requirements, and allow treatments to occur more frequently. TRIC claims farms using its robots have seen pesticide use fall by up to 70 per cent, with some reporting yield improvements thanks to better pest and disease control.

The autonomous machines also generate valuable data. Built-in cameras and sensors capture real-time insights on plant health and pest pressure, helping growers monitor performance and make more informed decisions.

Ambition = Automated Crop Protection

TRIC raised $5.5 million in seed funding in mid-2025, led by Version One Ventures, with backing from Garage Capital, Lucas Venture Group, and others. The investment is being used to expand the robot fleet, enhance analytics, and explore the system’s applicability to other crops beyond strawberries.

Stager says the long-term ambition is to provide “automated crop protection” across multiple types of produce. “Agriculture needs practical, scalable solutions to reduce chemical inputs and protect yields,” he told investors during the funding round. “UV-C is one of those solutions—but only if it can be applied efficiently, safely, and at scale.”

TRIC’s approach also highlights a broader shift in ag-tech away from standalone equipment sales towards service-based, data-rich models that mirror the way many farmers already procure services like spraying or fertilisation.

Others in the Field

TRIC is not alone in applying UV-C to agriculture, but its combination of automation, scale, and commercial deployment is relatively rare. One of the best-known alternatives is Norway’s Saga Robotics, whose Thorvald platform uses UV-C light to treat strawberries and grapes in Europe and the US. However, Saga’s robots are smaller, battery-powered, and typically used in research or niche applications.

Other firms, such as FarmWise and Naïo Technologies, are also building autonomous farm machinery, but these generally focus on weeding, harvesting, or mechanical cultivation rather than light-based disease control.

In the greenhouse sector, Dutch firms like Priva and Signify have experimented with UV light for fungal control in tomatoes and cucumbers, but few solutions are currently available for open-field use at scale.

This essentially positions TRIC as one of the most commercially advanced players applying UV-C at field level. Still, the space is expected to grow quickly, with McKinsey predicting that farm robotics and automation will become a $50 billion global market by 2030.

Challenges

Despite promising results, the technology is not without challenges. One concern is the potential for overuse of UV-C, which can damage plant tissue or lead to resistance in certain pest populations if not carefully managed. TRIC’s dosing systems are designed to avoid this, but it remains a technical and biological balancing act.

Another issue is energy use. For example, although TRIC’s early robots were battery-powered, the current versions use on-board diesel generators due to limited field charging infrastructure, thereby raising questions about carbon emissions, especially for a solution marketed on sustainability grounds. TRIC has acknowledged this limitation and says future versions may explore hybrid or fully electric designs as farm infrastructure improves.

There are also operational constraints to consider. For example, the robots work best in certain field layouts and require access to well-maintained paths and consistent planting patterns which is something not all farms can offer without modification. That said, TRIC’s tractor-sized form factor was deliberately chosen to mirror existing spray rigs and reduce disruption.

Also, some industry observers have questioned whether UV-C alone is actually sufficient to replace chemical sprays across a full growing season, especially in regions with high pest pressure. While results from pilot sites have been encouraging, broader third-party trials and peer-reviewed research will be key to long-term credibility.

What Does This Mean For Your Business?

If TRIC’s model continues to scale, it may bring about a change in how pest and disease control is delivered across large-scale agriculture. By offering automation as a service and avoiding upfront equipment costs, the company has lowered the barrier to adoption for growers who might otherwise resist change. That could accelerate the move away from chemical inputs in a sector long dependent on them. The fact that it’s proving cost-comparable to traditional spraying means it may not take government intervention or subsidies to push adoption forward.

For the robotics industry, TRIC’s success adds weight to the idea that task-specific, autonomous machines, especially those built around a practical service model, can find real traction in farming. This is a notable development in a space where many ag-tech ventures remain trapped in trial stages or small-scale pilots. If other crops can be treated as effectively, and if energy issues are resolved, UV-C robotics may offer a compelling template for reducing agrochemical reliance more widely.

UK farmers, especially those under pressure from changing pesticide rules and tighter sustainability requirements, may see clear potential in this approach. For example, British growers facing EU-derived regulations on maximum residue levels and soil health could benefit from a model that allows frequent treatment without chemical application or delayed re-entry. There could also be scope for adaptation to local crops such as soft fruits, leafy greens, or high-value organics, particularly where manual spraying is still dominant or increasingly expensive due to labour shortages.

Also, for UK businesses involved in food supply chains, TRIC’s methods are likely to be promising. For example, as major retailers and buyers place more emphasis on sustainability, traceability, and reduced chemical use, upstream suppliers using robotic UV-C solutions may gain competitive advantage. The same applies to UK-based ag-tech firms exploring adjacent fields. The window is open for others to localise or licence similar models in the UK and Europe, or to partner with growers on collaborative trials.

However, any rollout here would need to take into account different field conditions, crop types, and infrastructure. Unlike the flat, uniform rows of California strawberry farms, many British farms are smaller, more varied in layout, and less mechanised. That may limit near-term deployment without further design iterations.

It’s also worth watching how regulators may respond. For example, UV-C is already used in food processing and healthcare, but applying it in open-field environments could raise fresh questions about environmental exposure, crop labelling, and treatment records. Clear data on safety, efficacy, and operational standards will be essential to building trust.

For now, TRIC’s model stands out as an example of how robotics, when applied thoughtfully and at the right point in the production chain, can genuinely support more sustainable agriculture. The bigger test will come as more farms take it on, and as others begin to compete on similar ground.

Sustainability-In-Tech : Will Robots Solve The Housing Crisis?

Posted on by Paul Stradling

As Europe faces a worsening housing shortage, a new generation of construction robots is being pitched as a solution, but how realistic is the idea, and what does it mean for sustainability, workers, and the industry as a whole?

Rethinking the Way We Build

Housing shortages aren’t new, but in parts of Europe (including the UK) they’ve now reached critical levels. Spiralling costs, strict planning rules, and a growing mismatch between supply and demand have pushed home ownership further out of reach for many. At the same time, the construction sector is facing a crunch of its own.

While other industries have embraced automation and innovation, it seems that construction has remained largely unchanged. For example, today’s building sites largely feature bricks, mortar, manual labour, just as they would decades ago (although there are modern hoists and plant machinery). Arguably, the result is that building is still relatively slow, and is suffering from higher costs and dwindling productivity.

One telling statistic is that, although since 1945 productivity in manufacturing has increased more than eightfold, in construction, it’s only risen by just 10 per cent, and in some cases, has actually gone backwards. For example, building a single-family home now takes longer and costs more than it did 50 years ago, even after adjusting for size. Labour shortages are also compounding the issue. In the UK, the number of bricklayers recently hit a 25-year low, with a third expected to retire within the next decade.

This stagnation is feeding into the wider housing crisis. The shortage of skilled workers delays projects and drives up costs. Meanwhile, urban populations continue to grow, and government targets, such as the UK’s pledge to build 300,000 new homes a year, are consistently missed.

It seems, therefore, that the response by some technologists to propose a different approach may be welcome at this point, i.e. rather than simply trying to build more with the tools that have always been used, suggesting that a total rethink on building is needed.

Robot Builders?

The newest suggestion by some scientists is that autonomous robots, guided by AI and precision software, could take on repetitive and labour-intensive tasks, e.g. laying bricks, moving materials, and even assembling entire walls.

The idea is that robots could help us build faster, more affordably, and with less waste. This is a vision that blends technological ambition with an urgent social need, but the real question is whether this kind of innovation can change things for the better, or whether it’s another idea that will get stuck at the planning stage.

Bricklaying

Amsterdam-based startup Monumental is among those exploring whether robotics could reshape construction. The company has developed a suite of autonomous, electric robots designed to handle one of the most repetitive and labour-intensive tasks on site, i.e. bricklaying.

The system combines:

– Ground-based electric robots that move materials around a site.

– Small crane-like arms that place bricks and apply mortar.

– Computer vision and sensors to track exact positioning.

– A software platform, called Atrium, that maps the environment and guides the robots with millimetre precision.

Each robot is connected to a central coordination system that plans movements, detects site changes, and ensures accuracy in real time. Before building starts, a full 3D scan of the site is taken and aligned with digital building plans. From there, the robots get to work, layer by layer and brick by brick.

Work Alongside Human Builders

It should be noted here that the system is actually designed to work alongside human builders rather than to replace them. For example, labourers still prepare the site, oversee quality, and step in where needed. Monumental calls its approach “software-defined construction”, aiming for flexibility and integration rather than wholesale automation.

Does It Work?

So far, Monumental reports that the robots have built house façades, retaining walls, and other real-world structures across the Netherlands. For example, in 2023, the system completed its first full-scale 15-metre wall, and the company says performance has improved significantly with each iteration, helped by rapid software and hardware updates based on field testing.

The real aim, according to co-founder Salar al Khafaji, is to lay the groundwork for much broader automation, i.e. rather than just bricks, the robots also being able to work with concrete blocks, window frames, door frames, roofing elements, and more.

For now, Monumental appears to be focusing on reliability and practical deployment. The system is offered as a service where clients simply specify the bricks and mortar, and Monumental delivers the finished wall.

Who Else Is Building With Robots?

Globally, construction robotics is actually gaining momentum. In the US for example, Built Robotics offers autonomous trenching and earthmoving systems for infrastructure projects. ICON, known for its 3D-printed homes, has built houses for disaster relief and was recently awarded a $57 million NASA contract to develop construction tech for the Moon.

In Japan, the Shimizu Corporation is experimenting with robots that can handle everything from interior finishing to welding. Closer to home, the UK’s Construction Innovation Hub is exploring off-site manufacturing techniques that integrate robotics for modular building components.

Each approach varies, but the end goal is to make construction faster, more precise, and less dependent on scarce labour.

What It Could Mean for Sustainability

As well as being slow and expensive, traditional construction methods are also environmentally costly. According to the Global Alliance for Buildings and Construction, construction and building operations are responsible for nearly 40 per cent of annual global carbon emissions!

Robotic construction could offer several environmental benefits, such as:

– Electric robots like Monumental’s generate zero on-site emissions and reduce noise pollution.

– Precision placement, which can reduce material waste and rework.

– Faster builds, thereby lowering the overall energy footprint of each project.

By reducing reliance on diesel-powered machinery and minimising disruption, robotic systems could also be better suited to urban infill projects, where sustainability and community impact are closely scrutinised.

That said, the broader carbon impact also depends on material choices, energy sources, and supply chain factors, which robots alone can’t fix.

How Ready Is the Technology?

Despite the progress, fully autonomous building sites remain a long way off. Most current systems (including Monumental’s) focus on specific, repetitive tasks such as bricklaying or trench digging. Complex structural work, finishing, and systems integration still require human expertise.

Performance metrics are still emerging, but Monumental’s field projects suggest the technology is edging closer to commercial viability. The company claims its robots can build continuously, avoid common errors, and scale up with multiple units on one site.

Crucially, it has opted to work within existing construction norms, using conventional bricks, mortar, and pricing structures. This has helped reduce resistance among cautious builders, though long-term data on cost savings and productivity is still limited.

Implications for the Industry and Workforce

With labour shortages biting across Europe (19 countries were reporting a bricklayer shortage in 2022), automation may fill some urgent gaps. In the UK, where one-third of bricklayers are due to retire in the next decade, demand is unlikely to ease.

However, using robots raises familiar questions around job displacement. Even if robots assist rather than replace workers, fewer may be needed on site. That could reshape the training landscape, shift demand towards tech-savvy roles, and put pressure on traditional trades.

For construction firms, although automation could help meet delivery targets, especially for large-scale housing projects, costs, reliability, and integration still weigh heavily. Monumental’s “robot-as-a-service” model, which avoids capital investment and ties pricing to output, is one attempt to lower that barrier. Whether others will follow remains to be seen.

Governments, Policy, and the Housing Crisis

In places like Monumental’s home country, the Netherlands, where the government has committed to building one million homes by 2030, robotic construction may offer a helpful lever, but not a panacea.

In the UK, housing policy remains politically fraught, and delivery targets have repeatedly been missed. If robotic systems can offer faster build times, safer sites, and lower carbon footprints, they could become part of the toolkit for councils and developers alike.

Still, regulation, standards, and public trust are likely to play a major role. Construction robots may be technically impressive, but mass adoption will depend on how convincingly they can be integrated into real, everyday projects.

What Does This Mean For Your Organisation?

It seems there’s no single fix for Europe’s housing crisis, but the slow pace and inefficiency of traditional construction methods have clearly become part of the problem. As this article has highlighted, robotic systems like Monumental’s offer one possible route towards building more homes, more quickly, and with fewer emissions. What’s striking is not just the innovation itself, but the way it’s being packaged, i.e. pragmatic, incremental, and designed to slot into existing workflows rather than disrupt them completely.

In the UK, developers under pressure to meet housing targets may find robotic services attractive, particularly for repetitive or labour-intensive parts of the build. Construction firms willing to engage with these tools early on could gain a competitive edge, especially as skilled labour becomes harder to find. Also, tech providers, equipment suppliers, and training organisations may see growing demand for systems integration, on-site support, and workforce upskilling.

That said, the adoption curve is unlikely to be smooth. Much depends on how well these technologies perform under real-world pressures, how quickly costs come down, and whether builders, regulators and insurers are willing to adapt. Jobs will change (i.e. some may go, others will evolve) and this raises big questions for education, employment policy, and worker protections.

For policymakers and local authorities, there will need to be a balance between embracing robotic construction to help unlock stalled housing developments and support sustainability goals, and rethinking procurement, planning frameworks, and public trust in new technologies. If done carefully, it could support a more resilient and forward-looking housing system. If rushed or poorly managed, it may risk further complicating an already difficult landscape.

What’s clear is that the conversation has moved on from theoretical hype to practical possibility where, although robots aren’t going to replace the construction industry, they may quietly start rebuilding how it works.

Tech Insight : What was Revealed By The “We, Robot” Event?

Posted on by Paul Stradling

Following Tesla’s “We, Robot” event on October 10 at the Warner Bros. Studios in Los Angeles, we look at the big reveals, the reactions to them, plus some of the key comments made and opinions given.

A Showcase of Futuristic Visions 

Tesla’s long-anticipated “We, Robot” event, which captured the attention of millions worldwide, was CEO Elon Musk’s bold declaration of the company’s future direction, positioning Tesla not just as an electric vehicle manufacturer but as a cutting-edge robotics and artificial intelligence company. The showcase was reported to be rich with futuristic visions, but it left many wondering whether these concepts were truly within reach or just another example of Musk’s futuristic ambitions.

The Cybercab – A Robotaxi with No Steering Wheel 

The centrepiece of the evening was the long-awaited Tesla robotaxi, referred to as the “Cybercab”. A striking vehicle with gull-wing doors, the Cybercab was revealed as a completely autonomous car, lacking both a steering wheel and pedals. It operates solely on Tesla’s proprietary Full Self-Driving (FSD) technology, a vision-based system that relies on cameras rather than hardware such as lidar, which is commonly used by competitors like Waymo.

Musk announced that the Cybercab would be priced under $30,000 and would enter production in 2026, albeit without committing to a specific timeline for large-scale manufacturing. “The autonomous future is here,” Musk proclaimed to the audience, describing how these vehicles could be up to ten times safer than human-driven cars. He added that they could operate at a cost of only 20 cents per mile. Charging, he said, would be made even more convenient through inductive charging, which eliminates the need for physical charging plugs.

And …The Robovan, Tesla’s Autonomous Multi-Passenger Vehicle 

While the Cybercab was undoubtedly the star of the show, Musk also introduced a surprise in the form of Tesla’s ‘robovan’. Designed to carry up to 20 passengers, the robovan offers a vision for high-volume, autonomous transport. However, details about the robovan’s production timeline, features, and expected costs were reported to be notably sparse. Musk briefly mentioned that its operational costs could be as low as 5 cents per mile, making it potentially one of the cheapest transport solutions in the market.

Regulatory Hurdles Ahead 

Although the robovan could potentially revolutionise shared transport, industry analysts have been quick to point out the significant regulatory and technical hurdles that stand in the way. For example, Matthew Wansley, a professor of law at New York’s Cardozo School, commented, “What Tesla showed tonight was a lot of sci-fi smoke and mirrors… Musk has yet to prove that a vision-only approach for automation is viable.”

Tesla’s ‘Optimus’ Humanoid Robot 

As the event’s name suggests, “We, Robot” was not just about autonomous vehicles. Musk used the opportunity to highlight Tesla’s progress with ‘Optimus’, the company’s humanoid robot. Priced between $20,000 and $30,000, the robot is designed to handle many everyday tasks, offering a glimpse into how AI and robotics could reshape labour markets. Musk did not delve deeply into specific capabilities but promised that Tesla has made “a lot of progress” on the Optimus robot.

The unveiling of Optimus sparked a mixture of excitement and scepticism. For some, it reinforced Musk’s long-standing ambition to push AI and robotics into mainstream use. However, others expressed doubt about how quickly such a product could be scaled for consumer use, with some comparing it to past announcements from Tesla that have seen significant delays or failed to materialise.

Key Reactions and Investor Sentiment 

Despite the technological marvels on display, the event appears to have left some investors and experts feeling underwhelmed. One of the recurring criticisms seems to be the lack of concrete timelines and plans for the production and deployment of Tesla’s autonomous fleet. For example, Dennis Dick, reportedly an equity trader, has been quoted as summarising the sentiment of many investors, saying: “I’m a shareholder and pretty disappointed. I think the market wanted more definitive timelines. I don’t think he said much about anything.” 

Similarly, Bryant Walker Smith, a professor at the University of South Carolina, noted, “Tesla yet again claimed it is a year or two away from actual automated driving – just as the company has been claiming for a decade.” This remark highlights Tesla’s history of perhaps over-promising and under-delivering when it comes to autonomous driving capabilities.

Optimism 

Musk himself acknowledged that he often errs on the side of optimism when it comes to timelines. Yet, he maintained that Tesla’s approach, which eschews lidar in favour of a camera-based system, will ultimately be the most efficient and scalable. This approach, however, remains a point of contention among experts, with many pointing out that other companies in the autonomous vehicle race, such as Waymo and General Motors’ Cruise, have invested heavily in lidar technology, which they consider crucial for ensuring the safety and reliability of driverless cars.

Hurdles and Opportunities 

The robotaxi market, while potentially lucrative, appears to be fraught with obstacles with the establishment of a fully functional and safe fleet of autonomous vehicles looking like being no small feat. For example, Tesla’s reliance on vision-based AI, while cost-effective, faces significant challenges in terms of regulatory approval and the technology’s ability to handle complex driving environments, such as adverse weather or unpredictable pedestrian behaviour.

Despite these hurdles, Tesla’s massive fleet of electric vehicles, which already collect a wealth of driving data, gives the company a significant data advantage over rivals. KC Boyce, a vice president at data analytics firm Escalent, has been reported as commenting, “The vision-only system Tesla has chosen handicaps their capabilities versus how Waymo and Cruise have chosen to approach autonomy… Whether that data advantage is enough to close the sensor gap, I’m sceptical.” 

A Vision of the Future, But With Some Questions 

While the “We, Robot” event provided a tantalising glimpse into the future of transportation, it also raised many questions. On one hand, the promise of a $30,000 fully autonomous vehicle is certainly appealing, as is the prospect of making transportation safer, cheaper, and more efficient. Musk’s vision of a world where cars operate without human intervention could significantly alter how people live and work, offering the prospect of reclaiming valuable time spent commuting.

However, as history has shown, the road to full autonomy is long and fraught with both technical and regulatory challenges. Tesla’s vision of the future, while bold, still hinges on technological breakthroughs that have yet to be realised and on overcoming resistance from both regulators and the public.

In many ways, the “We, Robot” event could be considered to be a microcosm of Tesla’s broader strategy and a bold vision with world-changing potential, tempered by the practical realities of bringing that vision to life.

Whether the Cybercab and robovan become cornerstones of future transport or remain conceptual dreams is a question only time can answer.

Amazing Space X Rocket Return and Grab By “Chopsticks” 

While the “We, Robot” event may have left some attendees and investors underwhelmed due to its lack of concrete timelines and detailed plans, it is impossible to overlook the historic achievement made just days later by Musk’s other venture, SpaceX. On October 13, SpaceX successfully launched its fifth Starship test flight, but what truly captivated the world was the unprecedented mid-air capture of the “Super Heavy” booster rocket.

This was the first time SpaceX had managed to catch the 230-foot-tall booster using mechanical arms, nicknamed “chopsticks”, as it returned to the launch pad in Boca Chica, Texas. This groundbreaking recovery method is a crucial step towards making the Starship fully reusable, a key aspect of Musk’s vision for cost-effective and rapid space travel. As Musk himself stated, the achievement marked a “big step towards making life multiplanetary,” moving closer to SpaceX’s goal of using the Starship for moon and Mars missions in the near future.

This feat of engineering comes at a pivotal moment for SpaceX, particularly as NASA has selected the Starship for its upcoming crewed lunar missions under the Artemis programme. While Tesla’s robotaxi aspirations continue to face regulatory and technical hurdles, the extraordinary success of SpaceX in recovering the booster not only demonstrates Musk’s continued innovation but also underscores the broader vision he has for advancing humanity’s future beyond Earth.

What Does This Mean For Your Business? 

The “We, Robot” event undoubtedly provided a bold look at the future of transportation, particularly in terms of Tesla’s ambition to reshape how we think about mobility. For example, the unveiling of a $30,000 fully autonomous vehicle promises to disrupt the transport industry by making travel more accessible, safer, and more efficient. If realised, this could mark a pivotal moment in the shift towards self-driving technologies, potentially transforming how people and goods move across cities and countries. However, the event left some critical questions unanswered. Technological breakthroughs are still needed, and regulatory obstacles remain high. Tesla’s competitors, who are also racing to develop autonomous vehicles, will be watching closely. Companies such as Waymo and General Motors’ Cruise may accelerate their own efforts, sparking fierce competition in this rapidly evolving space.

For businesses and industries reliant on transportation, the potential impact of widespread autonomous driving is vast. Companies that depend on logistics, for example, could benefit from lower costs and improved efficiency, while new opportunities for services linked to mobility could emerge. However, this transition might also bring challenges, particularly for sectors like insurance and vehicle manufacturing, which may have to adapt quickly to changing demand and the reduction in human-driven vehicles.

In a broader economic sense, should Tesla succeed in making autonomous vehicles affordable, the ripple effect could extend to urban planning, employment in the transport sector, and even global supply chains. Entire industries may need to rethink their strategies in response to what could be a revolution in how transportation is managed and delivered. The knock-on effects on global economies, particularly in regions dependent on automotive industries, could be profound.

Meanwhile, the success of SpaceX in catching the Super Heavy booster rocket marked a monumental moment for Musk’s broader ambitions. While Tesla wrestles with challenges here on Earth, the achievement in space highlighted the potential for transformative change beyond our planet. This technological leap not only moves SpaceX closer to making the Starship fully reusable but also strengthens Musk’s vision of enabling human life on other planets. The success of SpaceX serves as a powerful reminder of Musk’s ability to push the boundaries of innovation across multiple industries, potentially outpacing competitors who are yet to make comparable breakthroughs.

Both Tesla’s ambitious autonomous vehicle plans, and SpaceX’s unprecedented achievements reveal a future of rapid change, not just for transportation on Earth, but potentially for space travel as well. For Tesla, its competitors, and the wider transport industry, the next few years will be crucial in determining whether this vision becomes a reality or remains a distant dream. As for SpaceX, its success signals that the future Musk envisions is not just a concept but an impending reality.

Tech News : New Fear Unlocked – Robot Dentists

Posted on by Paul Stradling

AI-driven automated dental technology company Perceptive has announced the completion of the world’s first fully automated dental procedure on a human using its robotic dentistry system.

Perceptive 

Boston-based Perceptive is an innovative dental technology company that has developed an AI powered dental robotics system to complete restorative dental procedures (e.g. crown replacements) faster and more accurately than any human dentist.

For example, Perceptive says the target for its AI dental robot is for it to be able to “complete a restorative dental procedure, such as a crown, with only one visit” of 15 minutes, which is “down from two visits of one hour each with traditional methods.” 

Interestingly, in addition to being partnered with the Harvard School of Dental Medicine and American Dental Association’s Forsyth Institute, one of the company’s backers is dentist Edward Zuckerberg, the father of Meta boss Mark Zuckerberg.

Not Enough Dentists 

Perceptive’s founder and CEO, Canadian-born Dr. Chris Ciriello said that while working in rural Canada after completing dental school, he noticed that there weren’t enough dentists in the area to treat all available patients. Therefore, to tackle this challenge, he initially built his own Dental Support Organization (DSO) but found that he still had more patients than he could treat, hence the idea to find a technological solution.

How Perceptive’s Dental Robot Works 

To meet the challenge initially identified by Ciriello, his company (Perceptive) developed an advanced dental robot system to carry out surgeries.  To begin a procedure, Perseptive’s AI robotics system uses optical coherence technology (OCT) to make a detailed 3D scan of the patient’s tooth and mouth (including below the gum line, through fluids, and under the tooth surface) using Perceptive’s handheld intraoral scanner. These 3D images are then analysed by AI algorithms to plan and execute the dental procedure efficiently. The actual surgery is then carried out by the system’s robot arm.

Works In A Fraction Of The Time 

Perspective says that its system can prepare teeth “in a fraction of the time” compared to traditional procedures carried out by human dentists. This is because its robot system simulates the preparation geometry prior to prepping the tooth, enabling it to manufacture the restoration (a filling or crown) even before prepping the tooth. The company says this improvement in workflow should allow for a 15-minute restoration visit (unverified and based on their pre-clinical in-house testing).

Accurate & Enhanced Patient Care and Safety

German Galluicci, DMD, Ph.D., Chairman of Restorative Dentistry at Harvard School of Dental Medicine, has been quoted as saying that Perceptive’s technology “achieves over a 90 per cent accuracy rate for detecting caries without the ionising radiation associated with traditional X-rays and CBCT scanners”, noting that this is a “significant improvement over the approximately 40 per cent accuracy of 2D X-rays”. Galluicci says this results in “safer and more precise diagnoses” thereby “enhancing patient care and safety.” 

First Procedure 

The company recently announced that in a world-first, its robot dental arm successfully completed a dental procedure (restoration – a crown replacement) on a human. Perspective’s founder and CEO, Dr. Chris Ciriello, said: “We’re excited to successfully complete the world’s first fully automated robotic dental procedure,” and that “This medical breakthrough enhances precision and efficiency of dental procedures, and democratises access to better dental care, for improved patient experience and clinical outcomes. We look forward to advancing our system and pioneering scalable, fully automated dental healthcare solutions for patients.”

The Benefits 

Although this is only the first dental procedure by the Perspective system on a human, it’s anticipated that the system has the potential to enable dentists to diagnose and treat more patients with higher quality care in less time, thereby reducing the need for manual labour while minimising the chances of human error. As highlighted by Perspective’s CEO, it may also provide the benefit of democratising access to better dental care, bringing about improved patient experience and clinical outcomes.

What Does This Mean For Your Business? 

The successful completion of the world’s first fully automated dental procedure by Perceptive’s robotic system may mark a significant milestone in the evolution of dental care. For businesses in the dental and healthcare sectors, this breakthrough could present both opportunities and challenges that should not be overlooked. Doubtless, there will be fear to be overcome as well as a societal shift in accepting robots of this kind for intimate work.

For example, the introduction of AI-driven robotic dentistry highlights the growing trend toward automation in healthcare, a trend that is likely to reshape how services are delivered. For dental practices, this could mean the need to reassess traditional workflows and consider integrating advanced technologies to remain competitive. The potential to reduce procedure times from hours to just 15 minutes could revolutionise patient throughput, allowing practices to treat more patients with greater efficiency, thereby increasing revenue and enhancing patient satisfaction.

However, with these advancements comes the need for investment in new technologies and training. Dental businesses will need to weigh the costs of adopting such systems against the benefits they offer. Early adopters could gain a competitive edge by positioning themselves as leaders in cutting-edge dental care, attracting tech-savvy patients who value speed and precision in their treatment. Also, the promise of higher accuracy in diagnostics and procedures, as evidenced by Perceptive’s system, could lead to better clinical outcomes, further enhancing the reputation of practices that embrace this technology.

This development may also prompt a shift in the role of dental professionals. As automated systems take on more routine tasks, for example, the role of the dentist could evolve toward more complex decision-making and patient interaction, areas where human skills remain irreplaceable. This could lead to a redefinition of the profession, requiring continuous education and adaptation to new technologies.

The advent of robotic dentistry, therefore, could signify the beginning of a transformative period for the dental industry. Those who proactively adapt to these changes, by investing in technology and upskilling, may be more likely to thrive in this new landscape. Those who fail to do so may find themselves at a disadvantage as the industry moves toward faster, more precise, and more accessible dental care.

Tech News : Robots Get Living Skin

Posted on by Paul Stradling

A team of Researchers at Tokyo University have found a way to bind engineered living skin tissue to robots with the hope of benefitting the cosmetics industry and helping to train plastic surgeons.

New Method Of Adhesion 

The team (led by Professor Shoji Takeuchi) has reported that whereas previous methods to attach skin tissue to solid surfaces involved mini anchors or hooks, which limited the kinds of surfaces that could receive skin coatings, the new successful method mimics human skin-ligament structures. The new method uses specially made V-shaped perforations in solid materials, thereby enabling the team to bind skin to complex structures. The natural flexibility of the skin with this effective method of adhesion means that the skin can move along with the mechanical components of robots without tearing or peeling away.

Created A Smiling Face 

Professor Takeuchi highlighted how, in their latest research, the team was able to “replicate human appearance to some extent by creating a face with the same surface material and structure as humans”. The photos of the prototype robot’s skin-covered face show it with a smile (achieved through actuation and via anchors).

New Challenges Identified 

Professor Takeuchi said that although the team has undertaken previous research on a finger-shaped robot covered in engineered skin tissue, this new research identified new challenges for future efforts. For example, the team discovered the need for skin surface wrinkles and a thicker epidermis to achieve a more humanlike appearance, suggesting that creating a thicker and more realistic skin could actually be achieved by incorporating sweat glands, sebaceous glands, pores, blood vessels, fat and nerves.

Looking to a future where robots could be covered in their own living skin layer, Professor Takeuchi acknowledged the importance of movement. He highlighted the challenge of creating humanlike expressions “by integrating sophisticated actuators, or muscles, inside the robot” and expressed how “incredibly motivating” is the thought of being able to create “robots that can heal themselves, sense their environment more accurately and perform tasks”. 

Professor Takeuchi also highlighted the scale and scope of the challenge of creating living skin for robots that’s self-healing, saying that “Self-healing is a big deal – some chemical-based materials can be made to heal themselves, but they require triggers such as heat, pressure or other signals, and they also do not proliferate like cells.” 

He added that “Biological skin repairs minor lacerations as ours does, and nerves and other skin organs can be added for use in sensing and so on.”

Goal 

Although they created a smiling skin face in the research, Takeuchi and his lab are keen to emphasise that they have a serious goal in mind for this application in terms of helping in several areas of medical research. For example, Takeuchi suggests that something like a “face-on-a-chip” could be useful in “research into skin aging, cosmetics, surgical procedures, plastic surgery and more”. Also, Takeuchi said that if sensors could be embedded, robots may be able to gain a better environmental awareness and improve their interactive capabilities.

What Does This Mean For Your Business? 

The apparent breakthrough achieved by Professor Shoji Takeuchi and his team at Tokyo University could signify a profound transformation in various industries, particularly cosmetics and medical training. For businesses in these sectors, the integration of living skin tissue onto robotic platforms presents exciting opportunities.

In the cosmetics industry, for example, this innovation could revolutionise product testing and development. Traditionally, cosmetic products undergo testing on synthetic materials or live animals, both of which have limitations and ethical concerns. However, the use of robots with human-like skin could offer a more accurate and ethical alternative. Companies could test how their products interact with human skin, including how they are absorbed, how they affect skin texture, and their long-term impacts. This method may not only ensure a higher fidelity of results but also align with increasing consumer demand for cruelty-free products.

For businesses involved in medical training and plastic surgery, the ability to simulate human skin on robotic models could be a real game-changer. These advanced robots could provide surgeons and medical students with realistic practice scenarios that better prepare them for real-life procedures. The potential to replicate various skin conditions, responses to surgical interventions, and healing processes on these models could enhance the educational experience and lead to better patient outcomes. Also, the development of self-healing skin technologies could extend the lifespan and utility of these training models, reducing costs and improving training efficacy.

This innovation could also open new avenues in fields such as robotics and human-computer interaction. Robots equipped with human-like skin and the ability to heal and sense their environment more accurately could lead to advancements in service robotics, elderly care, and rehabilitation. Businesses in these areas could see improvements in the functionality and acceptance of their robotic products, as the ability to mimic human touch and appearance enhances the user experience and trust.

The research also hints at future possibilities where robots could be more seamlessly integrated into daily life, performing tasks that require a human touch. For instance, in hospitality or customer service industries, robots with human-like skin could provide more personalised and engaging interactions, setting new standards for customer experience.

Overall, the development of robots with living skin tissue is not just a scientific curiosity but appears to be a significant leap forward with practical implications. Businesses that adapt and integrate this technology early may expect to lead in their respective fields, offering innovative solutions that were previously unimaginable. Whether through enhancing product testing, improving medical training, or advancing interactive robotics, this breakthrough could provide a unique competitive edge and open up a world of new possibilities.