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Skild AI
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Skild AI
@SkildAI
Any robot. Any task. One brain.
Help build general-purpose robotic intelligence at skild.ai/career
Exciting news! 🎉 Our CEO & Co-founder, Deepak Pathak (@pathak2206), received the PAMI Young Researcher Award at #CVPR2026 this week. Among the highest honors in computer vision for early-career researchers, the award recognizes groundbreaking contributions that have a lasting
- Skild AI reposted
What if one AI brain could run every robot on the planet—from a humanoid to a warehouse arm—all at once? 🧠 @pathak2206, CEO and Co-Founder, and Abhinav Gupta, President and Co-Founder of @SkildAI, explain how they are building "OmniBrain," a universal foundation model designed
00:00 - Skild AI reposted
We hosted Prof. Alyosha Efros (UC Berkeley) at @SkildAI! He didn't believe that robots could actually cook eggs reliably. :) Tested back-to-back 5times without fail! One batch of scrambled eggs every ~2.5mins nonstop. The same model assembles a GPU on a server rack too.
00:00 - Replying to @SkildAIThis is an end-to-end neural network that can be fine-tuned rapidly for new tasks with little data: no control-theory background required. We’re partnering with @ABBRobotics, @Universal_Robot, and @NVIDIARobotics to scale this worldwide. Blog ->
- Replying to @SkildAIRobustness to extreme disturbances is an emergent feature! Mixed factory lines alongside humans are messy. And robots that are programmed by hand fall apart the second something unexpected happens. Skild Brain uses in-context memory to adapt on the fly and keeps working.
00:00 - Nearly every system today, from energy to chips to food, is bottlenecked by scarce human capital. We are changing that by building AI-powered industries of the future. Check out Skild Brain robustly assembling GPU racks, a highly precise task, live at #NvidiaGTC.
00:00 - Skild AI reposted
Robotics is a data problem. Today, we’re partnering with @ABBRobotics, @Universal_Robot, and @NVIDIARobotics 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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