Skild AI
@SkildAI
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Any robot. Any task. One brain. Help build general-purpose robotic intelligence at https://t.co/UKh2kQYSqt
USA
Joined June 2023
We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain:
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building your friendly neighborhood omni-bodied brain 🤖
Imagine one brain for all robots. 🤖 @SkildAI is building a universal robot brain trained across arms, humanoids, and quadrupeds, powered by @NVIDIAOmniverse and NVIDIA Isaac. With foundation models, robots learn faster, cost less, and generalize better. Learn more. ➡️
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The future belongs to the companies building with AI. These four Lightspeed-backed startups are honored on @CBInsights’s Future Tech Hotshots List for doing just that: @Assort_Health, @Cartesia_AI, @ExaAILabs, and @SkildAI. This year’s Future Tech Hotshots includes 45 companies
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congrats to our very own @anag004 - looks like breaking all those robots paid off!
it's halloween🎃!! in other news — i got selected by MIT Tech Review as an Innovator Under 35 (Asia Pacific) for my work on AI and robotics! wouldn’t be half as fun (or possible) without my insanely talented collaborators at @SkildAI and CMU. https://t.co/U7E2T7JmzV
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NVIDIA and America’s leading manufacturing and robotics companies are driving U.S. reindustrialization with physical AI. 🙌 Learn how @agilityrobotics, @amazon Robotics, @Figure_robot, and @SkildAI are building America’s collaborative robot workforce using NVIDIA’s
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America's leading robotics companies are powering the next wave of reindustrialization. 🤖 @agilityrobotics, @amazon robotics, @Figure_robot, and @SkildAI are adopting the NVIDIA three-computer solution to deploy physical AI powered robotic fleets to bridge skills gaps, boost
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Robot meets parkour 🤖
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Looking forward to presenting our latest progress at #NVIDIAGTC DC! @SkildAI
How can robots master new skills and adapt in real-time like humans? 🤔 Join @SkildAI CEO @pathak2206 at #NVIDIAGTC DC to learn how they use human videos, large-scale simulations, and NVIDIA tools to train robots across different embodiments, enabling them to handle a wide range
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In-context learning for Robotics is here. Skild Brain adapts to new bodies and survives extreme shifts — without ever being trained on any of these robots.
We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain:
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.@skildai built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it, even if it’s an entirely new robot body…
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Blog → https://t.co/NtTeCvUCJ7 Careers → https://t.co/ZonwGiy23L Follow @SkildAI for updates. https://t.co/wdpmi8gXYE
We built a robot brain that nothing can stop. Shattered limbs? Jammed motors? If the bot can move, the Brain will move it— even if it’s an entirely new robot body. Meet the omni-bodied Skild Brain:
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Imagine Mars rovers that can adapt to broken wheels. Submersibles that can finish critical repairs with faulty thrusters. A rescue robot with crushed legs that can keep saving lives.
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With its extremely long memory, the Brain can learn from failure. This has far-reaching implications for robotics and beyond—
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The Skild Brain has an extraordinary memory. Most robot control policies have a few hundred milliseconds of memory, specialized for only one robot. Our context window is over 100x longer.
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What makes it so resilient? It's "omni-bodied". The Skild Brain spent 1,000 years walking 100,000 different bodies across simulated worlds. In our world, the Brain treats a broken robot as just another body.
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The Skild Brain can control any machine that walks or rolls. Watch it inhabit a robot dog that's stood up on two legs. Being zero-shot, it thinks it's in a humanoid body, so it walks like one:
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