Zerolaw Blog

Notes from building data infrastructure for Physical AI.

Practical perspectives on ego data quality, human demonstrations, hardware systems, and the training workflows behind embodied intelligence.

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Research notes and engineering perspectives from Zerolaw.

Synchronized visual, pose, and motion data streams

Data infrastructure6 min read

What makes Physical AI data trainable?

Raw footage is abundant. Aligned observations, actions, calibration, and task context are not. Here is the data contract that turns experience into a model-ready episode.

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Lightweight egocentric data collection hardware

Human demonstrations4 min read

Why ego data and egocentric demonstrations matter

First-person data preserves the relationship between perception, intent, and action.

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High-dimensional wearable data collection hardware

Hardware systems5 min read

Designing hardware around the data contract

Sensor choices should begin with the learning objective, not a maximal specification sheet.

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