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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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Even Trump’s chief of staff was ‘aghast’ at Elon Musk’s deadly USAID cuts

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Even Trump’s chief of staff was ‘aghast’ at Elon Musk’s deadly USAID cuts

Wiles says she called Musk on the carpet. “You can’t just lock people out of their offices,” she recalls telling him. At first, Wiles didn’t grasp the effect that slashing USAID programs would have on humanitarian aid. “I didn’t know a lot about the extent of their grant making.” But with immunizations halted in Africa, lives would be lost. Soon she was getting frantic calls from relief agency heads and former government officials with a dire message: Thousands of lives were in the balance.

Wiles continued: “So Marco is on his way to Panama. We call him and say, ‘You’re Senate-confirmed. You’re going to have to be the custodian, essentially, of [USAID].’ ‘Okay,’ he says.” But Musk forged ahead—all throttle, no brake. “Elon’s attitude is you have to get it done fast. If you’re an incrementalist, you just won’t get your rocket to the moon,” Wiles said. “And so with that attitude, you’re going to break some china. But no rational person could think the USAID process was a good one. Nobody.”

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OpenAI announces upgrades for ChatGPT Images with ‘4x faster generation speed’

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OpenAI announces upgrades for ChatGPT Images with ‘4x faster generation speed’

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OpenAI announced an update for ChatGPT Images that it says drastically improves both the generation speed and instruction-following capability of its image generator.

A blog post from the company Tuesday says the update will make it much easier to make precise edits to AI-generated images. Previous iterations of the program have struggled to follow instructions and often make unasked-for changes.

“The update includes much stronger instruction following, highly precise editing, and up to 4x faster generation speed, making image creation and iteration much more usable,” the company wrote.

“This marks a shift from novelty image generation to practical, high-fidelity visual creation — turning ChatGPT into a fast, flexible creative studio for everyday edits, expressive transformations, and real-world use.”

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The OpenAI GPT-5 logo appears on a smartphone screen and as a background on a laptop screen in this photo illustration in Athens, Greece. (Nikolas Kokovlis/NurPhoto via Getty Images)

The announcement comes just weeks after OpenAI CEO Sam Altman declared a “code red” in a memo within his company to improve the quality of ChatGPT.

In the document, Altman said OpenAI has more work to do on enhancing the day-to-day experience of its chatbot, such as allowing it to answer a wider range of questions and improving its speed, reliability and personalization features for users, according to The Wall Street Journal.

The reported company-wide memo from Altman comes as competitors have narrowed OpenAI’s lead in the AI race. Google last month released a new version of its Gemini model that surpassed OpenAI on industry benchmark tests.

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The OpenAI logo Feb. 16, 2025 (Reuters/Dado Ruvic)

To focus on the “code red” effort to improve ChatGPT, OpenAI will be pushing back work on other initiatives, such as a personal assistant called Pulse, advertising and AI agents for health and shopping, Altman said in the memo, according to the Journal.

Altman also said the company would have a daily call among those responsible for enhancing ChatGPT, the newspaper added. 

“Our focus now is to keep making ChatGPT more capable, continue growing, and expand access around the world — while making it feel even more intuitive and personal,” Nick Turley, the head of ChatGPT, wrote on X Monday night.

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OpenAI CEO Sam Altman speaks during the Federal Reserve’s Integrated Review of the Capital Framework for Large Banks Conference in Washington, D.C., July 22, 2025.  (Reuters/Ken Cedeno)

        

OpenAI currently isn’t profitable and has to raise funding to survive compared to competitors like Google, which can fund investments in their AI ventures through revenue, the Journal reported.

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I’ve been waiting years for Animal Crossing’s best new features

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I’ve been waiting years for Animal Crossing’s best new features

I never felt done with my Animal Crossing: New Horizons island. Despite playing every day for two years, and racking up 1,700 hours of playtime, I somehow never finished decorating. I had plenty of ideas for my island, sure, but actually implementing them was another story: The decorating and terraforming systems that helped make New Horizons a huge success are also slow, manual, and cumbersome, and my patience for decorating and redecorating had finally worn thin.

Fast-forward a few years, and a very much unexpected update is coming to finally fix some of those pain points. Update 3.0 is launching on January 15th, 2026, alongside the Switch 2 Edition of New Horizons. And while the paid Switch 2 upgrade has some nice-to-haves (like Joy-Con 2 mouse controls for indoor decorating), it’s the free update that brings all the key new features.

I recently attended a virtual preview for the New Horizons upgrade and update, and there are two caveats: I have not yet played either the Switch 2 version or the new free content myself, and it’s hard to gauge the quality of the Switch 2 version’s visual and performance improvements over a Zoom call. (I still have some unanswered questions about the biggest performance issues on the original Switch, like the choppy frame rate on more densely decorated islands.) But seeing the 3.0 additions in action, it was easy to imagine myself finishing my island — or at least an island.

As shown in the October announcement trailer, update 3.0 makes much-needed quality-of-life fixes. You’ll finally be able to craft multiple items at once, and crafting will pull materials from your overall storage instead of your pockets, meaning you won’t have to do a bunch of inventory management just to craft some decor. Then there’s Resetti’s Reset Service, which can help you clean up entire sections of your island instantly so you don’t have to pick everything up individually in order to redecorate. Some players also noticed a very subtle but potentially impactful change to movement while terraforming that should hopefully make it a smoother process. And then, as if to show off those decorating improvements, Nintendo also added Slumber Islands.

Not to be confused with dreams, New Horizons’ online island-sharing feature, Slumber Islands are extra sandboxes for you to decorate and play with, where you can set the time of day and the weather and magically conjure up any item you have in your in-game catalog to decorate with, similar to the Happy Home Paradise DLC. You can build bridges and inclines instantly by talking to Lloid, rather than going through Tom Nook and waiting (or time traveling) a day. And while it seems like terraforming works the same on Slumber Islands, the apparent addition of strafing while terraforming — instead of having to constantly reorient yourself manually — should help at least a little bit. (It’s the first thing I’m going to test on January 15th, that’s for sure.)

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For me, the worst part of decorating in New Horizons was having an idea, ordering all the furniture I’d need for it over the course of days, testing out the design, realizing it did not look the way I envisioned, and facing the tedious process of breaking it all down and starting over again brick by brick — or, at the very least, having to push and pull objects around for a while to see if I could make it work. The design process I saw on Nintendo’s Slumber Island during the preview, meanwhile, seemed quicker and smoother. Trying out an idea or aesthetic in that environment doesn’t sound like such a tall order.

Without any hands-on time, I can’t say if it will actually be noticeably easier to design and decorate with the 3.0 update. But I’m excited by the idea that I can go to my Slumber Island scratch pad and try out my designs before committing to them (and the cost in bells to get it all done) on my main island. And maybe, if I really like how it feels to decorate, I’ll make an entire Halloween-themed Slumber Island — the kind of island I’ve wanted to make for years but never did on my main island, where the seasons continue to change and actively ruin the vibe.

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