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Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video
Skild AI launched the S1 robot foundation model, which allows robots to learn new, complex tasks from a single video demonstration. This in-context learning eliminates the need for constant reprogramming or retraining when industrial tasks or layouts change.
Why it matters
This technology reduces the time and effort required to update robot workflows in factories and warehouses, potentially saving 50-100 hours of manual training per task. It allows automation to adapt quickly to new products without the downtime typical of traditional reprogramming.
The big picture
This confirms the existing relationship where Skild AI uses NVIDIA technology, specifically expanding on how they utilize NVIDIA infrastructure and Cosmos models for physical AI deployment.
The details
Skild, NVIDIA, and Foxconn are using the Skild Brain to assemble NVIDIA Blackwell systems. One video demonstration is estimated to be as useful as 380 manual training examples. The company has over 60 deployment partnerships across sectors including logistics, security, and food preparation.
What's next
Skild and NVIDIA are jointly developing GPU-accelerated simulation solvers for robot manipulation, which will be released as part of Newton.
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Key connections
Skild AI’s new S1 robot foundation model
S1 uses in-context learning
The model... uses video as input to understand and execute the task without updating its weights... a technique called in-context learning.
Skild AI is a partner of NVIDIA
Skild built S1 and conducted the research on NVIDIA AI infrastructure, part of a broader collaboration
Deepak Pathak is CEO of Skild AI
Deepak Pathak, cofounder and CEO of Skild AI
Skild AI uses NVIDIA Isaac Lab
NVIDIA Isaac Lab and NVIDIA Cosmos technologies help Skild create the scalable, diverse experience
Skild AI uses NVIDIA Cosmos
NVIDIA Isaac Lab and NVIDIA Cosmos technologies help Skild create the scalable, diverse experience
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Skild AI is a partner of Foxconn
Skild, NVIDIA and Foxconn are deploying the Skild Brain
NVIDIA owns Cosmos Curator
Cosmos Curator helps annotate, filter and organize data at scale
Skild AI uses NVIDIA Omniverse
NVIDIA Omniverse libraries and the NVIDIA Isaac Sim framework provide physically based virtual environments
Skild AI uses NVIDIA Isaac Sim
NVIDIA Omniverse libraries and the NVIDIA Isaac Sim framework provide physically based virtual environments
Skild AI uses Reinforcement Learning
Skild further strengthens the skills of its brain through reinforcement learning in Isaac Lab
Skild AI uses NVIDIA Nsight
NVIDIA Nsight tools help engineers find performance bottlenecks
Skild AI uses NVIDIA TensorRT
the NVIDIA TensorRT software development kit optimizes inference
NVIDIA owns NVIDIA Nsight
NVIDIA Nsight tools
NVIDIA owns NVIDIA TensorRT
the NVIDIA TensorRT software development kit
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