Colin Angle, l'homme qui a mis le Roomba dans des millions de foyers, dévoile un robot quadrupède à fourrure synthétique pensé pour... tenir compagnie. Alors que iRobot, son ancienne maison, finit ses jours sous pavillon chinois, la nouvelle créature de l'entrepreneur cible ceux qui ont été les plus grands admirateurs des robots aspirateurs : les chats (ok, les chiens aussi) (et les bébés).

A startup south of Austin is using robots to build homes out of clay pulled directly from the ground, reports a local news station: The materials are gathered on site, mixed, and placed on a build plate. From there, a robot lowers from above, picks up the clay with a claw, carries it to the wall and drops it into place. Later, the same robot switches tools, using a hammer attachment to pound the material into shape. "It's kind of trying to replicate how a human might build an adobe house," said software engineer Anastasia Nikoulina... Using machine learning, the system constantly evaluates the wall, adjusting how it builds to create a flat, solid surface... The project is underway at Proto-Town, a ranch between Lockhart and Luling where startups test new technologies, from anti-drone systems to nuclear reactors. The company plans to build their next home on the property, with hopes to do more than 20 homes over the next year.

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An anonymous reader quotes a report from Ars Technica: Humanoid robots are getting a new gig as baggage handlers and cargo loaders at Tokyo's Haneda Airport -- part of a Japan Airlines experiment to address a human labor shortage as airport visitor numbers have surged in recent years. The demonstration, set to launch in May 2026, could eventually test humanoid robots in a wide range of airport tasks, including cleaning aircraft cabins and possibly handling ground support equipment such as baggage carts, according to a Japan Airlines press release. The trials are scheduled to run until 2028, which suggests that travelers flying into or out of Tokyo may spot some of the robots at work. [...] Japan Airlines is interested in testing whether humanoid robots powered by some of the latest AI models can adapt more readily to human work environments -- such as airports -- without requiring dedicated work stations or other significant workplace modifications. The airline's subsidiary, JAL Ground Service, has teamed up with GMO AI & Robotics Corporation to oversee the demonstration. The Japanese companies will test the G1 robot and Walker E robot from Chinese companies Unitree Robotics and UBTECH Robotics, according to The Asia Business Daily. Humanoid robots still typically cost tens of thousands of dollars per unit despite Chinese robotics manufacturers scaling up mass production, although the Unitree G1 robot costs as low as $13,500 for the baseline model. A new video from an apparently staged demonstration in an aircraft hangar shows one of the humanoid robots tottering up to a large, metal cargo container and making a vague pushing gesture. But the cargo container only begins to move once a human worker starts the conveyor belt to move the container toward the aircraft. Presumably, the robots will need to put in much more effective work if they're to prove as productive as human airport workers. Having robots working directly alongside humans will also introduce new safety considerations for airports like Haneda Airport, which is Japan's second-largest airport, with flights arriving approximately every two minutes. The first step in the pilot program will involve identifying which airport areas will be safest for humanoid robots.

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Sony AI's autonomous table-tennis robot Ace has become the first robot to compete against top-level human players. Reuters reports: Ace, created by the Japanese company Sony's AI research division, is the first robot to attain expert-level performance in a competitive physical sport, one that requires rapid decisions and precision execution, the project's leader said. Ace did so by employing high-speed perception, AI-based control and a state-of-the-art robotic system. There have been various ping-pong-playing robots since 1983, but until now they were unable to rival highly skilled human competitors. Ace changed that with its performances against human elite-level and professional players in matches following the rules of the International Table Tennis Federation, the sport's governing body, and officiated by licensed umpires. The project's goal was not only to compete at table tennis but to develop insights into how robots can perceive, plan and act with human-like speed and precision in dynamic environments. In matches detailed in the study, Ace in April 2025 won three out of five versus elite players and lost two matches against professional players, the top skill level in the sport. Sony AI said that since then Ace beat professional players in December 2025 and last month. "The success of Ace, with its perception system and learning-based control algorithm, suggests that similar techniques could be applied to other areas requiring fast, real-time control and human interaction -- such as manufacturing and service robotics, as well as applications across sports, entertainment and safety-critical physical domains," said Peter Durr, director of Sony AI Zurich and leader for Sony AI's project Ace. The findings have been published in the journal Nature.

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An anonymous reader quotes a report from TechCrunch: The winning runner at a Beijing half-marathon for humanoid robots finished the race today in 50 minutes and 26 seconds -- significantly faster than the human world record of 57 minutes recently set by Jacob Kiplimo. [...] [T]he winning time is a massive improvement over last year's race, when the fastest robot finished in two hours and 40 minutes. The Associated Press reports that this year's winner was built by Chinese smartphone maker Honor. It seems the winning robot wasn't actually the fastest, as a different Honor robot finished in 48 minutes and 19 seconds. But that one was remote controlled -- the 50:26 robot was autonomous and won due to weighted scoring. About 40% of participating robots competed autonomously, while the remaining 60% were remote controlled, according to Beijing's E-Town tech hub. Not all of them did as well as Honor's robots, with one robot falling at the starting line and another hitting a barrier.

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Boston Dynamics has integrated Google DeepMind into its robotic dog Spot, giving it more autonomous reasoning for industrial inspections like spotting spills and reading gauges. Spot can also now recognize when to call on other AI tools. IEEE Spectrum reports: Boston Dynamics is one of the few companies to commercially deploy legged robots at any appreciable scale; there are now several thousand hard at work. Today the company is announcing that its quadruped robot Spot is now equipped with Google DeepMind's Gemini Robotics-ER 1.6, a high-level embodied reasoning model that brings usability and intelligence to complex tasks. [T]he focus of this partnership is on one of the very few applications where legged robots have proven themselves to be commercially viable: inspection. That is, wandering around industrial facilities, checking to make sure that nothing is imminently exploding. With the new AI onboard, Spot is now able to autonomously look for dangerous debris or spills, read complex gauges and sight glasses, and call on tools like vision-language-action models when it needs help understanding what's going on in the environment around it. "Advances like Gemini Robotics-ER 1.6 mark an important step toward robots that can better understand and operate in the physical world," Marco da Silva, vice president and general manager of Spot at Boston Dynamics, says in a press release. "Capabilities like instrument reading and more reliable task reasoning will enable Spot to see, understand, and react to real-world challenges completely autonomously." You can watch a demo of Spot's new capabilities on YouTube.

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