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How can we responsibly deploy agentic AI robots in real-world environments? As we close the gap between AI reasoning and physical action, developing a new safety framework is key to advancing helpful robots. 🤖

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Google DeepMind

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47,887 просмотров • 1 год назад •via X (Twitter)

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A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:
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A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:

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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.
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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.

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Physical AI is taking on tougher industrial work. 🦾 From development to deployment, Noble Machines is building general-purpose robots with NVIDIA Isaac GR00T, Jetson, and ADLINK Technology edge AI platforms to help bring physical AI into demanding industrial environments. Read the story 📖

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while all of AI twitter is arguing about Fable 5.1 vs GPT-6 Astra, 95% of people out in public don't know either one exists. The gap is wild. Explaining doesn't work. Showing them AI built games doesn't work. Software developers are blown away because AI can do our job better and faster. - when robots build an entire house in 24 hours, the construction worker will get it. - when robots cook the food perfect every time, the chefs will understand. - when robots run into a burning building and save a family, the firefighters will understand too. people don't get it yet because they can't see what is coming as clearly as we can. we have been impacted, and what we see has far exceeded our expectations.
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