Technology
Airport robots handle baggage in Tokyo trial
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Air travel already feels automated in many ways. You scan your ticket, drop your bag and move along. Now, another part of the airport experience is starting to change.
At Haneda Airport, one of the busiest airports in Japan, humanoid robots are preparing to join ground crews. The effort comes from Japan Airlines, which plans to test machines that can help move baggage and cargo right on the tarmac.
The project brings together Japan Airlines’ ground service teams and GMO AI & Robotics, a robotics business within GMO Internet Group, to test how these systems could fit into real airport operations.
The long-term goal is to support a more sustainable way to run airport operations as demand continues to grow.
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Japan Airlines plans to test humanoid robots at Haneda Airport to help ground crews move baggage and cargo on the tarmac. (Kurt “Cyberguy” Knutsson)
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Why airports are turning to humanoid robots
Airports are under pressure from two directions at once. Passenger numbers keep rising, while the number of available workers is shrinking.
Japan is feeling that squeeze more than most. Tourism continues to surge, yet the working-age population is declining. That creates a gap that is hard to fill with traditional hiring alone. Japan Airlines employs thousands of ground crew workers, highlighting the scale of the challenge.
Instead of redesigning airport systems from scratch, companies are exploring humanoid robots that can fit into existing workflows. A robot shaped like a person can move through the same spaces, use the same equipment and work alongside human crews without major changes.
The humanoid robot handling airport baggage
The machines being tested come from Unitree Robotics. One model, known as the G1, is compact enough to move through tight spaces yet capable of lifting and pushing cargo. It stands a little over four feet tall and weighs about 77 pounds. The design folds for storage, which matters in crowded airport environments.
What makes it useful isn’t size alone. The robot uses sensors like 3D LiDAR and depth cameras to understand its surroundings. It can recognize objects, adjust its movement and even respond to voice input.
During a recent demonstration, the robot pushed cargo onto a conveyor belt and signaled to a nearby worker. That interaction may sound small, yet it shows how machines and humans can coordinate in real time. These early demonstrations are designed to evaluate how robots can safely assist in real airport conditions rather than operate independently.
How humanoid robots learn to handle baggage
Before a robot ever touches a suitcase, it spends time in a virtual world. Engineers create a digital version of the machine and train it using simulations. Nvidia provides tools like Isaac Simulator, where robots practice tasks again and again without real-world risk.
Motion capture data helps the robot copy human movement. Then reinforcement learning refines those actions through repetition. Once the system performs reliably in simulation, the behavior transfers to the physical robot. This process, often called Sim2Real, helps reduce mistakes when the robot enters a busy environment like an airport.
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Japan Airlines and GMO AI & Robotics are testing whether humanoid robots can safely support real airport ground operations. (Kurt “Cyberguy” Knutsson)
What humanoid robots will and will not do on airport tarmacs
Even as automation expands, airlines are drawing clear boundaries. Robots are expected to take on repetitive, physically demanding tasks. That includes moving baggage, loading cargo and assisting with equipment.
In the future, they could also support a wider range of tasks, such as cabin cleaning or operating certain types of ground support equipment. GMO AI & Robotics also sees workers shifting toward supervision, decision-making and robot management as the technology matures.
Still, critical responsibilities remain with people. Airports are busy, unpredictable environments where workers, aircraft and ground equipment operate close together. For now, the goal is to learn where humanoid robots can safely help crews while reducing physical strain.
The bigger picture for humanoid robots in airports
Attempts to automate airport work are not new. Traditional robots have struggled in unpredictable settings where objects move, people walk through work zones and conditions change quickly. Humanoid robots offer a different approach. Their human-like form lets them adapt without requiring major infrastructure changes.
Japan’s trial will run through 2028, giving airlines time to evaluate performance and refine how these machines fit into daily operations. The rollout is expected to follow a phased approach, starting with observation and testing before expanding into more practical use cases. If the results hold up, similar systems could appear in airports around the world.
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Humanoid robots could eventually help airports handle baggage faster, reduce worker strain and support busier travel schedules. (Kurt “Cyberguy” Knutsson)
What this means to you
If you fly in the U.S., you likely will not see robots on the tarmac tomorrow. Still, what happens in Japan could signal where airports everywhere are headed. If these trials work, similar systems could show up at major U.S. airports. That could mean faster baggage handling and fewer delays during busy travel periods.
It could also change working conditions for airport crews. Robots may take on the heaviest lifting, which could reduce injuries and make jobs more sustainable over time. At the same time, new questions will follow. Airlines will need to prove these systems are safe, reliable and ready for real-world pressure before expanding them across busy U.S. airports.
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Kurt’s key takeaways
Robots moving baggage on an airport tarmac may take a minute to get used to. Still, it makes more sense once you understand the reason behind the trial. Airports are getting busier, and ground crews are already doing tough physical work under real pressure. If these robots can safely take on some of the heaviest stuff, they could give workers more support and help flights move more smoothly. The real test will be how well people and machines work together when the airport is busy and every minute matters.
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If robots start handling your luggage, would you trust them to get it right every time? Let us know by writing to us at CyberGuy.com.
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Technology
Valve is so behind on Steam Controller orders that some won’t ship until 2027
Valve has some good news and bad news about Steam Controllers. The good news: if you make a reservation for a Steam Controller, the company will now show you one of three estimates of when you’ll be able to actually order your gamepad: by September 2026, by December 2026, or sometime in 2027. The bad news: any reservations made today “indicate a 2027 date for shipping,” Valve says.
“We have no plans to stop making Steam Controller,” according to Valve. “But as we look at the current demand compared to how many we know we can make by the end of the year, we want to manage expectations as much as we can with regards to when folks can expect to receive their order.”
Valve’s very good new Steam Controller went on sale in early May, and the initial rush led some people to run into frustrating problems with trying to check out ahead of the controllers eventually going out of stock. A few days later, the company announced that it would be implementing a reservations queue for interested buyers so they could get on a waitlist. If you’re on the waitlist, when you get notified that a Steam Controller is ready for you to buy, you have 72 hours to actually make the order.
“When we launched Steam Controller last month, we quickly saw that initial demand exceeded our expectations,” Valve says. “Switching to a reservation queue has (hopefully) cut down on the headaches on the customer side, and for us it’s also been helpful as we plan ahead and try to get as many out as quickly as we are able.”
All three of Valve’s big hardware products were delayed from a planned early 2026 launch because of the component crisis, Valve still hasn’t announced when the Steam Machine PC or Steam Frame VR headset might go on sale. However, just yesterday, Valve officially launched its big SteamOS 3.8 update with support for the Steam Machine. It’s also been importing a lot of hardware into the US as of late.
Technology
McDonald’s AI drive-thru may take your next order
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The next time you pull up to a McDonald’s drive-thru, the voice taking your order may not be human. McDonald’s is testing a new AI-powered system called ArchIQ at five U.S. locations. The company has not said where those restaurants are located. The voice assistant, nicknamed Archy, can take drive-thru orders and has shown it can handle both English and Spanish.
For anyone who has repeated “no pickles” into a speaker box more than once, this could sound helpful. However, if you remember McDonald’s last AI drive-thru experiment, you may also wonder whether your burger order could somehow turn into a bag full of surprise McNuggets.
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WOULD YOU EAT AT A RESTAURANT RUN BY AI?
McDonald’s is testing an AI drive-thru system called ArchIQ at five U.S. restaurants. (Kurt “CyberGuy” Knutsson)
What is McDonald’s AI drive-thru?
ArchIQ is McDonald’s new AI system for restaurants. It can take drive-thru orders and also help with operations behind the scenes.
In a post on X, McFranchisee, an anonymous McDonald’s franchisee account, said the system is currently in five test stores and has processed more than one million transactions. The account also said about 90% of orders were completed without a human stepping in. That number sounds promising. Still, McDonald’s has not confirmed a nationwide launch date. For now, this remains a limited test.
The system also appears to connect with a bigger McDonald’s plan called “McDonald’s > NEXT.” CEO Chris Kempczinski described the strategy as a way to bring in more customers and improve restaurant productivity. The plan also includes menu changes, restaurant redesigns, technology upgrades and more focus on hospitality.
Why McDonald’s is testing AI ordering
Drive-thrus can get chaotic fast. Someone changes an order after the total appears. A child calls out from the back seat. Road noise makes the speaker hard to hear. Then the driver remembers the extra sauce after everything has already gone through. That is the type of pressure McDonald’s wants AI to handle.
If ArchIQ works well, it could help restaurants move cars through the line faster. It may also reduce mistakes during busy hours. Workers could then focus more on preparing food, handling payments and helping customers who need a real person.
ArchIQ also appears to have a management role. In the same X post, McFranchisee described Archy as a tool that could alert managers to bottlenecks or other issues before they slow down operations.
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The AI assistant, nicknamed Archy, can take drive-thru orders and may also help managers spot restaurant slowdowns. (McFranchisee)
McDonald’s tried AI drive-thru ordering before
This new test follows McDonald’s earlier AI drive-thru experiment with IBM. That program involved more than 100 restaurants. McDonald’s ended the test in 2024 after customers complained about order accuracy. Some mistakes also went viral, creating an embarrassing moment for McDonald’s and raising questions about whether the technology was ready for the drive-thru. Customers reported wrong items, strange quantities and other order mix-ups. That history is why this new test will get extra attention.
This time, McDonald’s is working with Google technology. McFranchisee also claimed every McDonald’s in the U.S. is getting Google Edge Cloud hardware in anticipation of the rollout. McDonald’s seems to believe the newer system can perform better than the last one. The real test will come when regular customers use it during real drive-thru rushes.
How McDonald’s AI drive-thru could help customers
If McDonald’s gets this right, the most obvious benefit is speed. An AI ordering system does not get tired during a long shift. It may also help more customers order in the language they prefer. That could make a busy drive-thru feel less frustrating, especially during breakfast or late-night hours.
The system may also ask clearer follow-up questions and catch missing details before the order reaches the kitchen. That would be a win for customers who want to get in, get their food and get on with the day.
The biggest problem with AI drive-thru orders
The biggest concern is accuracy. AI can still misunderstand people. That gets frustrating fast when you are trying to grab lunch between errands or get your kids fed from the back seat. A wrong order wastes time. It also puts workers in the position of fixing a mistake the machine made.
There is also the customer service side. Some people like hearing a real person at the speaker. Others may find an AI voice cold or annoying, especially if the system gets confused.
Then there is the privacy question. If an AI system takes your order, customers may wonder what gets collected, how long it is kept and who can access it. McDonald’s has not publicly explained those specifics for this current ArchIQ test.
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A drive-thru menu board stands outside a McDonald’s restaurant in Hercules, Calif., on Oct. 23, 2024, amid an E. coli outbreak linked to onions in Quarter Pounder sandwiches that has sickened dozens and killed one person across the U.S. (David Paul Morris/Bloomberg via Getty Images)
How to avoid AI drive-thru mistakes
Before you leave the drive-thru, take a moment to check the order screen. Make sure the items match what you said. Listen when the system repeats your order. Keep your receipt until you confirm the food is right.
Also, avoid sharing extra personal details at the speaker box. Your order should only require your food choices and payment.
If the AI gets confused, ask for a crew member. You do not need to keep going back and forth with a machine over fries.
What this means for you
For now, you probably will not notice a change at your local McDonald’s. The ArchIQ test appears limited to five U.S. restaurants, and the company has not said when it could expand.
Still, this gives customers a preview of where fast food may be heading. AI could soon play a bigger role in how restaurants take orders and manage the kitchen. That may speed up the line, though it could also make the experience feel less personal.
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Kurt’s key takeaways
McDonald’s clearly wants AI to play a bigger role in its restaurants. From a business point of view, the idea makes sense. Shorter drive-thru lines could help franchisees and customers. Better restaurant data could also help managers fix problems faster. But I still want the human backup. Food orders can be messy because people are messy. We change our minds. We talk over each other. We forget the extra ketchup until the last second. AI may handle much of that one day. For now, I would treat it like any busy drive-thru interaction. Speak clearly. Check the order. Do not pull away until you know your food is right.
Would you trust an AI voice to take your McDonald’s order, or do you still want a real person on the other end of the speaker? Let us know by writing to us at Cyberguy.com
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Technology
Midjourney goes from generating cat images to full-body ultrasound scans
Midjourney CEO David Holz just showed off the company’s first hardware product and plans to build a San Francisco spa, which he admitted is a bit different from the “cat pictures” produced by its AI image generator. Dubbed The Midjourney Scanner, it’s an ultrasound-based full-body scanner that uses a ring of sensors to capture vertical slices of the inside of your body, looking at the composition of your muscle, fat, bone, and organs to start. Holz said ideally, you could do this once a year or every single day, as it “aims for image quality comparable to MRI in many ways.”
He mentioned that one way he’d like to use it would be to see how his body changes in response to diet and workout changes, saying, “I’m not the most measured man on Earth yet, you know, but maybe I want to have that daily [measurable information].” A set of job listings advertises the company’s goal as trying to “build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.”
The Midjourney Scanner was developed in a partnership with ultrasound tech company Butterfly Network, which said it uses “40 Butterfly Ultrasound-on-Chip imaging modules per system.”
The scanning process starts with stepping onto a platform that drops down into the water on rails through a ring of thousands of transducers that create ultrasonic waves. It then records the ripples passing through your body to analyze them and create detailed 3D images. The scan takes about 60 seconds. Holz said about a dozen people have been scanned so far.
It starts by stepping into a shallow pool of golden light. You then begin to descend into the water. Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation. The sensors send ultrasonic sound waves through your body from every angle. With enough waves, and enough angles, we form an image of what’s happening inside your body.
It combines those sensors with two petaflops of processing power. But after watching the livestreamed reveal, I’m still unclear on what Midjourney’s AI image generation tech exactly has to do with the Midjourney Medical effort, beyond an alternative business for otherwise-unused AI compute.
Holz hopes to put 10 of the scanners into a Midjourney Spa location in San Francisco’s Union Square that will open before the end of 2027 and offered to scan the hands of attendees at its launch event. The Midjourney Spa will have a gym, saunas, and cold plunges to go along with the hot tub–equipped scanning rooms where visitors will get into the water to be scanned.
He did mention that various medical applications would require FDA clearances, but for now, Midjourney Medical says it’s working on “body composition maps” that don’t require the same level of clearance as diagnostic imaging. It also says the “library of scans” users create can be shared with doctors, AI health tools, or others, and that, “We take data privacy seriously — more details on our data policies will come as we get closer to launch.”
Holz suggested that eventually these scans could become better than an MRI, without radiation, powerful magnets, or other complicating factors, to get a look at what’s going on inside people’s bodies “real fast.” In response to a question, he imagined a future where the FDA had a class of devices to look at “weird” things and allowed people to “just try to get as much data as we can.”
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