Toyota’s CUE7 robot uses AI to shoot free throws at a live basketball game

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Most people think of Toyota and think of a Camry, a Tacoma, maybe a Prius. A 7-foot-tall robot shooting free throws during halftime of a professional basketball game? This is a more difficult image to create. But that’s exactly what happened recently at Toyota Arena Tokyo, where approximately 8,400 fans watched the match live.
The name of the robot is CUE7. He stood up seamlessly from a seated position, dribbled the basketball, and made free throws without any human intervention. The crowd applauded. The engineers probably gasped. Toyota officially launched its most advanced artificial intelligence-supported humanoid robot and chose basketball as the venue.
So why is a car company building basketball robots? So what does any of this have to do with you? More than you think.
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ARTIFICIALLY STRONG ROBOT DESTROYS BASKETBALL HOOPS THAT LOOK IMPOSSIBLE
Toyota’s CUE7 robot demonstrates how artificial intelligence can learn complex physical movements by controlling the ball with precision. (Toyota Motor Company)
CUE7 started from scratch on purpose
What really makes the CUE7 different from its predecessors is this: The Toyota team threw out everything they had built and started over.
“We took full advantage of artificial intelligence and threw out everything we had built and started from scratch,” said Tomohiro Nomi, humanoid robots research leader at Toyota’s Frontier Research Center.
This is no small statement. The CUE series dates back to 2017, when a group of Toyota employees started the series as a volunteer side project on their own time. It eventually became a formal research program, and over the course of nearly a decade the team amassed some truly impressive hardware. In 2019, CUE3 won the Guinness World Record for the most consecutive free throws made in basketball, making 2,020 consecutive shots by a humanoid robot (assisted). Later CUE6 won the record The farthest basket scored by a robotapproximately 80 feet 6 inches) connecting remotely.
So the legacy was already there. What changed in CUE7 was the philosophy behind the way it learned.
From human programming to artificial intelligence that solves everything on its own
Previous versions of CUE relied on something called model predictive control. Essentially, engineers programmed the robot step by step exactly how it should move. He trained well enough to break world records. But it also had a ceiling. Each new movement required new programming from a human.
CUE7 instead uses reinforcement learning powered by artificial intelligence. He learns to hit the ball based on his own experience and trial and error rather than pre-programmed instructions. AI acts like an autonomous agent: It tries something, observes the result, makes adjustments, and tries again. It’s good if it’s done enough times. Really good.
The hybrid control system combines reinforcement learning with model predictive control, creating a robot that adapts to unexpected situations rather than simply following a fixed script. Think of it as the difference between a player who memorizes every play in the book and a player who reads the play in real time. CUE7 is learning to read the game.
What’s actually inside the CUE7 robot?
CUE7 is approximately 7 feet 2 inches tall and weighs approximately 163 pounds, making it approximately 40% lighter than the previous version, which weighed approximately 265 pounds. Toyota achieved this by simplifying the structure and reducing the number of axles.
He also switched from four wheels to two, making his movement faster and smoother. One moment that really stood out was how smoothly he could rise from a sitting position. Such a move, especially of this magnitude, requires serious engineering and attracts the reaction of more than 8,000 people.
The robot uses lidar sensors on its body to detect its surroundings for detection and aiming, and a stereo camera on its head to calculate distance and angle. It is powered by high-performance batteries adapted from Toyota’s racing technology.
This is where it gets interesting. The robot measures the distance to the rim, calculates the angle, determines the correct trajectory, and then releases the shot with a controlled force. If he misses, he learns from this attempt and adapts to the next one.
ROBOT PLAYS TENNIS WITH HUMANS IN REAL TIME

During a live gaming demo, the robot takes a shot that highlights how machines can adapt to real-world environments. (Toyota Motor Company)
Artificial intelligence that really does this job
Toyota trained the system using human movement data; This allows CUE7 to move surprisingly naturally. Rather than appearing mechanical, their movements reflect how a person actually moves, and that’s by design.
This same combination of real-time calculation and learned experience is what allows the two to do things like shoot (precise, calculated) as well as dribble (fluid, sustained) without working against each other.
Toyota says testing this type of learning in a live environment is an important part of the project.
“We believe validating a robot based on reinforcement learning in the inherently uncertain environment of the basketball court is an extraordinarily valuable opportunity,” Tomohiro Nomi, Head of Humanoid Robotics Research Unit at Toyota Motor Corporation Frontier Research Center, told CyberGuy. “Going forward, we will continue to develop robots that inspire and bring joy to people.”
What does this mean to you?
You probably won’t be buying a robot basketball player anytime soon. But here’s the part worth paying attention to: The AI that helps CUE7 block free throws is technology that Toyota is actively developing for manufacturing, automotive systems, and real-world robotics.
Basketball requires everything manufacturing robots strive for: target identification, distance measurement, trajectory calculation, coordinated movement and precise force control, all in sequence and under pressure. Toyota specifically chose basketball because it tests all of these skills simultaneously in an environment where success and failure are wide open.
The reinforcement learning that powers CUE7 could emerge in factory robots that adapt mid-shift when production requirements change, in vehicles that handle unexpected road conditions more fluidly, or in home and care robots that must navigate unpredictable environments. Toyota sees CUE7 as a testbed for vision systems, motion control and coordinated movement, with capabilities that reach broader real-world applications well beyond halftime shows.
When Toyota teaches a robot to play basketball, it’s actually teaching machines how to learn. And this skill is transferred. In other words, this is less about basketball and more about teaching machines how to learn physical skills in unpredictable environments. This is where the real effect begins to emerge.
NEW ROBOT THAT CAN MAKE HOUSEHOLDING A BASTARD

CUE7 uses the free throw, a simple moment that reflects a larger shift towards AI that learns through experience. (Toyota Motor Company)
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Kurt’s important takeaways
CUE7 is a fascinating piece of technology, but the real story isn’t about basketball. This is about a fundamental shift in the way robots are trained, moving from rigid human programming to artificial intelligence systems that learn through experience and adapt on the fly. What started as a voluntary employee-side project in 2017 has become a true proving ground for Toyota’s embodied AI research. Almost a decade later, the results are playing out to a live audience of thousands, filling the Guinness World Records in the process. CUE7 made a free throw at halftime in front of a packed field. More importantly, it showed that AI-powered machines can now acquire complex physical skills through trial and error, just as humans do. It’s a change that has ramifications that extend far beyond the basketball court.
If a robot can teach itself to shoot free throws better than most humans can, through purely AI-driven trial and error, what physical skill do you still believe machines can never learn on their own? Let us know by writing to us. cyberguy.com.
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