VLA Models: How Vision-Language-Action Networks Turn "Pick That Up" Into Motion
OpenVLA, π0 and friends — the architecture that maps camera pixels and instructions directly to joint trajectories.
Read the guide →Engineering blog
Guides from the machine room.
How small models, RAG pipelines, humanoid robots and world models actually work — written by the team that deploys them behind firewalls, with code you can run on your own hardware.
Training Robots: Reinforcement Learning, Domain Randomization and Sim-to-Real
Why robots learn to walk in simulation first, how domain randomization closes the reality gap, and a minimal PPO training loop.
Read the guide →Cognitive Architectures for Robots: From Reflex Loops to Language-Driven Planning
The three-tier control stack — 1 kHz reflexes, 100 Hz skills, slow deliberation — and where LLMs and VLAs actually plug in.
Read the guide →The Physics of Walking Machines: ZMP, Torque Density and Why Balance Is Hard
Zero-moment point, center of mass dynamics and series-elastic actuators — the mechanics every humanoid has to solve 1,000 times per second.
Read the guide →Humanoid Robots in 2026: An Interactive Tour of What's Inside
Explore a humanoid component by component — actuators, IMU, vision stack, battery, compute — with the physics and cognition behind each. Interactive.
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