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Resources

Field notes on physical AI.

Technical writing from the PALVO team on orchestration, world models, and what it actually takes to close the loop between perception and action in the real world.

Articles

Why airports still close runways to pick up a bolt

A single fastener on a runway can shred a tire or get ingested by an engine — so airports still stop traffic and send a person out to walk the pavement. We look at why the detect-only towers that dominate the market don't remove the risk, only report it, and what a closed loop changes.

Read on the FOD page

Detect-only is half a system

Most industrial AI ends at a bounding box or an alert. But the value in the physical world is in the action that follows — the grasp, the rework, the stop. We argue that detection without a governed, verified action loop leaves the hard, expensive part of the job on the human — and why PALVO treats removal and verification as first-class.

See the technology

Physical AI is an orchestration problem, not a bigger model

The bottleneck in real-world autonomy isn't raw model capability — it's coordinating many sensors and actuators, safely, in real time, across latency tiers. We make the case for a single software plane that perceives, reasons, and acts, with a deterministic safety partition at the edge, instead of one ever-larger network trying to do everything.

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Full write-ups are in progress. Want to be notified when we publish, or discuss any of these in depth? Get in touch.

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We're happy to walk through the architecture, the standards work, and the roadmap with serious partners and investors.