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Quadruped robot plays badminton with you using AI

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Quadruped robot plays badminton with you using AI

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At ETH Zurich’s Robotic Systems Lab, engineers have created ANYmal-D, a four-legged robot that can play badminton with people. 

This project brings together robotics, artificial intelligence and sports, showing how advanced robots can take on dynamic, fast-paced games. 

ANYmal-D’s design and abilities are opening up new possibilities for human-robot collaboration in sports and beyond.

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ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

How does ANYmal-D play badminton with humans?

Badminton is a game that requires quick footwork, fast reactions, and precise hand-eye coordination. To give a robot a chance on the court, the ETH Zurich team equipped ANYmal-D with four legs for stability and agility, a dynamic arm to swing the racket, and a stereo camera to track the shuttlecock. The robot uses a reinforcement learning-based controller, which allows it to predict and react to the shuttlecock’s movement in real-time. ANYmal-D can move around the court, adjust its posture, and time its swings, keeping rallies going with human players for up to 10 shots.

NO TENNIS PARTNER? NO WORRIES WITH THIS AI ROBOT

The technology behind ANYmal-D’s badminton skills

ANYmal-D’s stereo camera serves as its eyes, constantly monitoring the shuttlecock. The robot uses a “perception noise model” to compare what it sees with data from its training, helping it track the shuttlecock even when it moves unpredictably. The robot can pitch its body to keep the shuttlecock in view, mimicking how a human player might lean in for a tricky shot.

ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

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Unified reinforcement learning for whole-body control

Coordinating legs and an arm is tough for any robot. The ETH Zurich team developed a unified control policy using reinforcement learning, allowing ANYmal-D to move and swing as a coordinated whole. This system was trained in simulation, so the robot learned how to handle a wide range of shots and situations before stepping onto a real court.

Diagram of the ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

AI HUMANOID ROBOT LEARNS TO MIMIC HUMAN EMOTIONS AND BEHAVIOR

Hardware integration: What’s inside the robot?

ANYmal-D combines a sturdy quadrupedal base with the DynaArm, and its racket is set at a 45-degree angle for effective striking. The robot’s state estimation runs at 400 Hz, the control policy updates at 100 Hz, and the perception system operates at 60 Hz. All of this runs on a Jetson AGX Orin module, making the robot responsive and ready for action.

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ANYmal-D, a four-legged robot that can play badminton with people   (ETH Zurich)

Challenges of playing badminton with a robot

Getting the robot’s legs and arm to work together smoothly is a major challenge. Most robots handle these tasks separately, but this limits agility. By combining locomotion and arm control into a single system, ANYmal-D can adjust its posture and gait based on the shuttlecock’s path, moving more like a human player.

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ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

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Active perception: How ANYmal-D sees the game

Robots don’t have human eyes, so their cameras can struggle with frame rates and field of view. ANYmal-D’s perception-aware controller keeps its camera moving smoothly, always tracking the shuttlecock. The perception noise model helps bridge the gap between simulation and real matches, making the robot more reliable during games.

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ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

Real-world deployment: Bringing the robot to the court

Bringing ANYmal-D from the lab to the badminton court meant dealing with practical issues like power limits and communication delays. Despite these challenges, the robot managed to keep up with human players, responding to different shot speeds and landing positions, and maintaining rallies that showcased its adaptability and skill.

ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

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ANYmal-D’s badminton performance: What did the tests show?

In collaborative games with amateur players, ANYmal-D tracked, intercepted, and returned shuttlecocks with impressive consistency. On average, it took about 0.357 seconds to process the shuttlecock’s trajectory after a human hit, leaving just over half a second to get into position and make the shot. While it didn’t return every shot, the robot’s ability to maintain rallies and adjust to the pace of the game highlights how far robotics has come in dynamic sports scenarios.

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ANYmal-D, a four-legged robot that can play badminton with people  (ETH Zurich)

Kurt’s key takeaways

ANYmal-D really shows how far robotics has come, especially when it comes to working alongside people in fast-paced activities like badminton. It’s interesting to see a robot not just keeping up on the court, but actually rallying with human players and adapting to the game as it unfolds. As these technologies keep improving, it’s easy to picture more robots joining us in all sorts of sports and activities, making play and teamwork even more fun for everyone.

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Would you be curious to play a match against a robot like ANYmal-D, or do you think nothing can replace the experience of playing badminton with another human? Let us know by writing us at Cyberguy.com/Contact.

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It’s amazing how good Alienware’s $350 OLED monitor is

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It’s amazing how good Alienware’s 0 OLED monitor is

I’ve recommended several OLED gaming monitors to readers over the years, and I’ve finally taken my own advice to buy one. Alienware’s new 27-inch 1440p QD-OLED has all the features that I want and a low $350 price that was too tempting to ignore.

The AW2726DM model has five things that make it stand out for the price: a 1440p QD-OLED screen with lush contrast, a fast 240Hz refresh rate, a semi-glossy screen coating to enhance details, a low-profile design without flashy RGB LEDs, and a great warranty (three years with coverage for burn-in).

I’ve been using Alienware’s new monitor for a couple days, and I’ve already spent hours with it playing Marathon. It was my first opportunity to see Bungie’s new first-person extraction shooter in its full HDR glory, and I can never go back. Switching on HDR wasn’t automatic, though it already looked so much better than my IPS panel without being activated.

Enabling it transformed how Marathon looked for the better, but made everything else about the OS look pretty washed-out. It’s a Windows issue, not an Alienware issue. It’s easy to enable HDR every time I launch a game and disable it afterward with the Windows + Alt + B keyboard shortcut, but unfortunately triggers HDR for all connected displays. This includes my IPS monitor that imbues everything with a terrible gray hue when HDR is on. So, using the system settings is the best way to adjust HDR for just the QD-OLED.

I landed on this QD-OLED after having spent a ton of time researching pricier models. The unanimous takeaway from reviewers was that LG’s Tandem RGB WOLED panels are some of the brightest out there, but also tend to exhibit lousy gray uniformity in dark scenes. QD-OLED monitors, on the other hand, offer slightly better contrast than WOLED and don’t suffer from those same uniformity issues. However, blacks sometimes appear as dark purple in bright rooms on QD-OLED panels, meaning they’re ideal for rooms that don’t have a bunch of light bouncing around.

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There’s no perfect choice, and honestly I got tired of doing research, so I jumped in with the cheapest OLED. I’m glad that I did. Shopping for an OLED gaming monitor can be hard, but it can also be this easy. AOC makes a model that’s discounted to $339.99 at the time of publishing, and its specs are comparable.

As expected, the AW2726DM isn’t a cutting-edge monitor. Its QD-OLED panel isn’t as fast or as bright as some other pricier options, and it doesn’t have USB ports for connecting accessories. Considering its low price, it’s easy for me to overlook those omissions. I’d have a much harder time accepting them in a pricier display.

The fact that I mostly use my computer for text-based work at The Verge is what prevented me from upgrading to an OLED monitor. My 1440p IPS monitor is bright, it’s good at showing text clearly, and it has a fast refresh rate for gaming. Alienware’s QD-OLED is less bright, and some might be bothered by how text looks (I have to really squint to see the slight fringing from this QD-OLED’s subpixel layout). But I have a life outside of work, which includes playing a lot of PC games. That’s the slice of myself I bought this monitor for, and I’m so happy I did.

Photography by Cameron Faulkner / The Verge

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Michael and Susan Dell surpass $1 billion in donations backing AI-driven hospital project

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Michael and Susan Dell surpass  billion in donations backing AI-driven hospital project

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Billionaire Michael Dell and his wife, Susan Dell, have become the first donors to give more than $1 billion to the University of Texas at Austin, funding a massive new medical research campus and hospital system powered by artificial intelligence.

The couple’s latest investment includes a $750 million gift to help build the UT Dell Medical Center, a planned “AI-native” hospital expected to open in 2030 as part of a more than 300-acre advanced research campus.

University officials said the project will integrate research, clinical care and advanced computing to improve early disease detection, personalize treatment and expand access to care in the rapidly growing Austin region.

The Dells’ support builds on decades of contributions to UT, including funding for its medical school, scholarships and research programs.

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Michael Dell and Susan Dell attend the Breakthrough Prize ceremony as they become the first to donate more than $1 billion to the University of Texas at Austin. ( Craig T Fruchtman/WireImage)

“By bringing together medicine, science and computing in one campus designed for the AI era, UT can create more opportunity, deliver better outcomes, and build a stronger future for communities across Texas and beyond,” Michael Dell and Susan Dell said.

The gift ranks among the largest in the history of higher education, alongside major contributions like Phil Knight’s $2 billion pledge to Oregon Health & Science University and Michael Bloomberg’s $1.8 billion donation to Johns Hopkins University.

The new UT Dell Medical Center will be developed in collaboration with MD Anderson Cancer Center, integrating cancer care into a system designed to connect prevention, diagnosis and treatment.

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The University of Texas at Austin campus at sunset. (iStock)

“We will deliver better outcomes for patients by providing research-driven cancer care that is precise, compassionate and hope-filled,” Peter WT Pisters, president of UT MD Anderson, said.

Officials said the facility will be built from the ground up to incorporate AI, rather than retrofitting older infrastructure — an approach they say could transform how hospitals operate.

Independent experts have cautioned that AI in health care can introduce risks if not carefully validated. A widely cited study published in the journal Science by researchers at the University of California, Berkeley and the University of Chicago found that a commonly used healthcare algorithm underestimated the needs of Black patients due to biased training data, highlighting broader concerns about equity in AI-driven systems.

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The project also includes funding for undergraduate scholarships, student housing and the Texas Advanced Computing Center, where officials are developing one of the nation’s most powerful academic supercomputers.

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Artificial intelligence technology is expected to play a key role in diagnosis and patient care at the planned UT Dell Medical Center. (iStock)

Texas Gov. Greg Abbott said the investment will help position the state as a national leader in healthcare innovation.

“Texas already dominates in technology, energy and business, and now we will further cement our leadership in health care innovation as well,” Abbott said.

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The university said it plans to break ground on the medical center later this year and has launched a broader campaign to raise $10 billion over the next decade.

The Associated Press contributed to this report.

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Technology

SpaceX cuts a deal to maybe buy Cursor for $60 billion

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SpaceX cuts a deal to maybe buy Cursor for  billion

SpaceX and Cursor are now working closely together to create the world’s best coding and knowledge work AI.

The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models.

Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.

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