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For 29 years, AI-driven robot design has required weeks on a supercomputer. Today, in #PNAS, we report how modern AI can design robots in 30 seconds, on a laptop. Joint work w/ David Matthews, Andrew Spielberg, Daniela Rus, and Sam Kriegman (Sam Kriegman)

19,661 görüntüleme • 2 yıl önce •via X (Twitter)

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Paper:

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Technical details:

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This work takes us one step closer to "personal robotics": Tell an AI what you want a robot to do (e.g. unclog a drain). The AI designs a robot for you in simulation (30s). Your desktop 3D printer prints it (a few hrs). Toss the robot down the drain (to unclog it).

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My co-authors put in tons of blood, sweat, and tears, over three years, to make this a reality. But special congratulations go to David Matthews, who did a lot of the work while an undergraduate student here at @uvmvermont. Congrats David, and team!

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"For 29 years..." In 1994 (29 years ago), Karl Sims reported the first "virtual creatures" designed by an AI: In 2000, @hodlipson showed how those virtual creatures could be 3D printed as physical robots:

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and @denizzokt: perhaps we can combine forces to make self-motile, morphologically computing machines? 21st century embodied AI anyone? @rodneyabrooks

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@Kriegmerica mom! the jello is moving!

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@Kriegmerica Congratulations @Kriegmerica and David. AI-driven robot design is the future. I wonder if it is possible to integrate more prior design knowledge into the design process...

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@kenneth0stanley @Kriegmerica This is mind blowing work. Thank you.

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@Kriegmerica Great!! When will the simulator source be available? Asking on behalf of the entire #RoboSoft community!

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Researchers at Northwestern University have developed "legged metamachines," a new class of modular robots whose unique physical forms were evolved entirely by artificial intelligence. Rather than following traditional human-engineered blueprints, the researchers used AI to "grow" novel body configurations in a computer simulation, resulting in strange new "species" that move like seals, lizards, or kangaroos. These AI-driven designs bypass standard dog- or human-like structures to create machines that no human engineer would have conceived. The machines are composed of autonomous, Lego-like modules, each containing its own motor, battery, and computer. While individual modules can move on their own, their true agility and near-indestructibility emerge through the AI-evolved architecture that allows them to function as a collective. Because the design is inherently modular, these robots can survive catastrophic damage that would be fatal to traditional machines. Broken parts do not become dead weight; instead, the AI-designed system allows them to keep rolling or crawling independently to rejoin the team. Lead researcher Sam Kriegman notes that these are the first robots to step outdoors after evolving inside a computer. They can survive being cut into pieces, as every separated module remains an individual agent capable of continuing its journey. The study, conducted at the McCormick School of Engineering, was co-authored by Kriegman and PhD students Chen Yu, David Matthews, and Jingxian Wang.

Michał Podlewski

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