Topic
Large pretrained policies intended to serve many robots and tasks, including in-context adaptation from demonstrations without retraining.
Generalist AI's arms improvised through a missing tool and a bad grip in front of a reporter. Improvisation is the right test; the account still carries no success rate, price or customer.
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Skild says a single video demonstration teaches its S1 model an unseen ten-minute task with no weight updates. The accuracy figure published alongside that work is 66 percent per manipulation step.
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The second-generation Cassie and Sonny run on Tutor's own foundation models, and the first person to show either robot a task it has not seen is one of the company's remote tutors, staffed internationally and paid by Tutor.
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Where a robot's inference runs decides what the machine costs to build. SemiAnalysis puts the industry's upfront compute bill in the trillions at a billion robots, paid by manufacturers on every unit before it does any work.
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The model reads hand trajectories, tactile and proximity data from a seven-degree-of-freedom wearable, then emits motion direction, speed, force and grasp timing. Per-machine execution goes to a second controller trained in simulation.
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Team REX pairs Samsung SDS with five hardware makers, three model developers and two data firms, and Samsung SDS says it went to a Chinese supplier for robotic hands because nobody else can match China.
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The floor on Figure's compute commitment is about twice all the equity it has disclosed raising, and the vendor writing that contract now owns a piece of the customer owing it. Whether the $3.5bn is take-or-pay is undisclosed.
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The Verge's reviewer has spent years living with home robots, and ahead of IFA's humanoid catwalk she argues the coordinating brain matters more than the body, after none of the humanoids at CES could open her laundry detergent.
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The new 1.7 model brings broader manipulation, but the line that matters says N1.5 is no longer supported, which turns every policy fine-tuned on it into a revalidation job somebody has to schedule.
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LG Electronics says it will train on 100,000 hours of robot data inside the year at its Seoul DataFactory. The target turns a chairman-level MOU into a fleet purchase and a floor plan.
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The cross-embodiment model treats a robot's body as an input rather than a fixed assumption. For buyers, that turns hardware selection into a question about what transfers.
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