Blog
Insights on Physical AI.
Perspectives from our team on robotics data, embodied intelligence, and the infrastructure powering the next wave of AI.
Edge AI: Bringing Intelligence Closer to the Real World
The future of AI isn’t farther away in the cloud—it’s closer than ever at the edge.
Neural Discrete Representation Learning: Vector Quantized Variational AutoEncoder (VQ-VAE)
Vector Quantized Variational AutoEncoder (VQ-VAE) — Theory and Insights
LAPA: Teaching Robots by Watching the World Through Egocentric Videos
A look at NVIDIA's LAPA, the framework teaching robots to learn from observation rather than action labels.
NVIDIA GR00T Explained: How Vision-Language-Action Models Are Transforming Humanoid Robotics
A deep dive into NVIDIA GR00T, the Vision-Language-Action foundation model designed for humanoid robots. Learn how GR00T uses simulation, diffusion policies, and large-scale learning to bring general-purpose intelligence to robotics.
Can an Off-the-Shelf VLM Read First-Person Video? We Tried
We pointed Qwen2.5-VL at egocentric worker footage to see how far an off-the-shelf VLM gets you before you need anything custom. Here's the honest answer.
What It's Actually Like to Label Video Data All Day
A first-person account of what precision video annotation looks like at scale — and why it matters for Physical AI.
Embodied AI: Teaching Machines to Act in the Physical World
Embodied AI represents a fundamental shift — intelligence that isn't just computed, but experienced through real physical interaction with the world.
The Factory Floor as a Training Ground for Physical AI
The factory floor is becoming one of the most valuable sources of training data for physical AI — and the skilled workers on it are the unsung teachers of the next generation of robots.
Why Egocentric Data Is the Missing Layer for Robotics
LLMs were unlocked by internet-scale text. General-purpose robotics will be unlocked by something different — first-person, physical-world data.
What Makes a Good Robotics Dataset?
Not all training data is created equal. Here's what separates dataset noise from dataset signal for embodied AI.
The ChatGPT Moment for Robotics Is Near
We are closer than most people think to a general-purpose robotics breakthrough — and the bottleneck is data infrastructure, not model architecture.