Robotica
Sony's AI robot Ace beats professional table tennis players
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Sony AI's table tennis robot Ace has challenged and sometimes defeated professional human players at an expert level. A study published Wednesday in Nature details how it learned via reinforcement learning and performed on an Olympic-sized court at Sony's Tokyo headquarters. The robot uses nine camera eyes to track the ball's spin by its logo.
Researchers at NVIDIA have developed a system where teams of AI coding agents autonomously train robots to perform complex tasks such as inserting graphics cards and cutting zip ties.
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Physical Intelligence, a San Francisco startup founded in 2024, is advancing robot control systems that learn multiple tasks using vision-language-action models derived from large language models. The company has demonstrated robots performing varied activities such as making coffee, folding clothes and cooking sweet potatoes based on verbal instructions.
The two-legged Tron 1 robot from LimX Dynamics, resembling a Star Wars AT-ST walker, has been showcased in new videos performing tasks like tour guiding and delivery. The $25,000 machine, initially tested at CES with basic remote control, now displays advanced programmed capabilities. Developers highlight its potential for various real-world uses.
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South Korea has conducted a test delivery of fried chicken to a remote island using a drone combined with a four-wheel robot. The operation, dubbed the world's most elaborate takeaway, aims to explore innovative logistics for isolated areas. It was reported on April 30, 2026.
Elon Musk revealed that Tesla has altered the design of its Optimus robot's finger joints featured in recently published patents. The original rolling contact joints, highlighted by robotics enthusiast Scott Walter, did not perform as intended. Musk shared this update in a post late on April 19.
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Scientists from the University of Basel, ETH Zurich, and the European Space Agency have tested a quadrupedal robot equipped with a robotic arm to explore planetary surfaces more efficiently. The robot navigated rocky terrain autonomously, identifying targets and collecting data faster than traditional human-guided methods. The findings, published this week, suggest it could accelerate resource prospecting and searches for signs of life on the moon and Mars.
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