Physical Intelligence, a hot robotics startup, says its new robot brain can figure out tasks it was never taught

Physical Intelligence's new 'robot brain' model, π0.7, demonstrates an ability to perform tasks beyond its explicit training, marking a step toward general-purpose robotics. | Contesto: cronaca

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• Physical Intelligence, a hot robotics startup, says its new robot brain can figure out tasks it was never taught

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In a development that could reshape the future of automation, robotics startup Physical Intelligence has unveiled a new artificial intelligence model, π0.7, capable of performing physical tasks it was never explicitly taught. The announcement, made this week, positions the model as an early but significant stride toward creating a general-purpose "robot brain," a long-standing and elusive goal in the field of artificial intelligence and robotics. The core breakthrough of π0.7 lies in its ability to generalize. Unlike most current robotic systems, which are painstakingly programmed or trained for specific, narrow functions, this new model can reportedly figure out how to complete novel tasks by drawing on a broader understanding of the physical world. This means a robot powered by π0.7 could potentially learn a foundational set of skills and then apply that knowledge creatively to solve new problems it encounters, without requiring engineers to write new code for every minor variation in its environment or objective. This capability addresses a fundamental bottleneck in robotics. Today's industrial robots are marvels of precision and reliability, but they operate in highly controlled settings, performing the same action millions of times. They lack the adaptability required for unstructured environments like homes, hospitals, or disaster sites. A general-purpose robot brain, as envisioned by Physical Intelligence, would endow machines with a form of common-sense reasoning about physics, objects, and space, enabling them to navigate and manipulate a world that is messy, unpredictable, and constantly changing. The implications of such technology are vast and complex. In the near term, successful development could lead to a new generation of versatile helper robots for logistics, manufacturing, and elder care, performing a wide array of chores rather than a single one. It could accelerate research in fields like material science and drug discovery by providing endlessly patient and adaptable laboratory assistants. However, the path forward is fraught with technical hurdles, including ensuring safety, reliability, and robust real-world performance outside of...

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Categoria: cronaca