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Canadian engineers have created a robot that is almost impossible to beat in a puck game For a year and a half, it was trained in simulations — it played thousands of virtual matches and learned to predict the puck’s trajectory, taking into account bounces off the boards and... show more

NEXTA

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179,326 просмотров • 3 месяцев назад •via X (Twitter)

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Researchers developed Hitter, a humanoid robot that can play table tennis in real-world settings. It was trained on the Unitree G1 robot to predict the ball’s path, choose the right shot, and react in less than a second. In tests, it achieved 106 consecutive shots with a human and even rallied with another humanoid robot.

Researchers developed Hitter, a humanoid robot that can play table tennis in real-world settings. It was trained on the Unitree G1 robot to predict the ball’s path, choose the right shot, and react in less than a second. In tests, it achieved 106 consecutive shots with a human and even rallied with another humanoid robot.

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🚨🇺🇸FIGURE ROBOT LEARNS TO WALK IN HOURS Turns out you can teach a robot to walk—if you’ve got a few years to burn in a physics simulator (or a few hours of GPU time). Figure’s team trained a neural network using reinforcement learning to mimic natural human locomotion, and the wild part is it worked on the first try with real hardware. No tuning. No fiddling. Just plug and strut. Thanks to sim-to-real transfer and some sneaky domain randomization, the robot didn’t just wobble out of the lab—it walked like it had somewhere to be. Next up: running. Not terrifying at all. Source: Figure

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The grocery robots from Starship Technologies has been getting into shenanigans in Finland now for a while. Even small towns have them and they have a range of 4kms. This one robot decided to drive off a bridge and was later seen floating in the river until a boat picked it up and returned it to the store.

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Trained a single layer neural network in C to predict AND GATE from scratch using gradient descent and Batch training of dataset in almost 300K epochs

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Sony AI just published the first autonomous robot to beat elite humans at a competitive physical sport. Its name is Ace. The sport is table tennis. The paper dropped in Nature today. 9 cameras triangulate the ball in 3D. Three systems zoom in on the ball's logo mid-flight to read its spin axis. End-to-end reaction time is around 20 milliseconds, roughly 10x faster than a human. It learned by playing itself for 3,000 hours in simulation. No human demonstrations. In April 2025, Ace beat 3 of 5 elite players and lost to both pros. By December, it had beaten a pro. At one point, Ace returned an impossible backspin shot. Kinjiro Nakamura, a 1992 Barcelona Olympian, watched from the side: "No one else would have been able to do that. I didn't think it was possible. But the fact that it was possible means there is a possibility that a human could do it too."

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A robot was torn apart during a half marathon in China It simply failed to notice an obstacle, crashed into it — and broke into pieces. Still a long way from being a “Terminator.” In the end, it had to be removed from the track, with a team brought in to evacuate what was left of the machine.

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#Syria: mass protests are taking place against the #Assad regime in the Druze city of #Suwayda. It was Suwayda that a year and a half ago bridged the divide between the Syrian people, showing it is possible for a minority to support the Syrian Revolution and be welcomed.

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