Reading paths

12 paths

Choose a topic, then follow the articles in order or start with the one you need.

Physical AI

The robot-training loop 4 pieces

The five-stage mental model, the pipeline I ran on one GPU, and what capture and learning method change inside the same loop.
From model capability to deployment 4 pieces

Why a strong model is only the beginning: capture evidence, operating envelopes, runtime monitoring and the commissioning boundary.

From solver to decision loop 5 pieces

When a digital twin needs a surrogate, how to compare technique families fairly, what changes from 2D to 3D, and what a fast room model still needs before it can support a building decision.
From camera evidence to reconstruction 3 pieces

How I chose what kind of truth to preserve, built the reconstruction workflow, and learned what 24 Gaussian-splat jobs could and could not prove.
From reconstruction to a visual twin 3 pieces

Where a convincing Gaussian reconstruction stops, how I built an editable OpenUSD workflow around it, and what the measured Garden run actually established.
From Omniverse platform to browser application 3 pieces

The industrial platform model, the move from Kit-first applications to libraries, and the browser viewer I built to test that approach.

Delegating 3D work to an agent 3 pieces

Decide what to delegate, check whether the requested edit happened, and separate supported claims from unanswered questions.
Accepting an agent's 3D delivery 3 pieces

Understand the acceptance workflow, follow a delivery through feedback and repair, then decide what needs to change and who should act.
Testing 3D materials, motion and simulation 7 pieces

Start with a delivered assembly, or choose a pair of articles on materials, motion or simulation. Each pair explains a check and the limits of its evidence.
Making agent workflows reliable 4 pieces

Why grounding and workflow structure often matter before fine-tuning, what changed when code owned execution order, and what a safe restart still had to prove.

Rethinking MES with Physical AI 2 pieces

Understand what Physical AI could change in manufacturing execution, then examine the shared architecture and tests needed to assess its value.
From compute to operation 6 pieces

How hardware, Omniverse and shared models fit together—from the compute underneath physical AI to the industrial systems it is meant to improve.