← Physical AI Physical AI · Reading path · 4 pieces
From model capability to deployment
Why a strong model is only the beginning: capture evidence, operating envelopes, runtime monitoring and the commissioning boundary.
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Physical AI's bottleneck isn't the model anymore
Why the harder deployment problems increasingly sit around the model: data, simulation, validation and the operating system around it.
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What Industrial Maintenance Demands From Robot Capture
A concrete look at the motion, contact, timing and evidence the capture system has to preserve before training begins.
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A VLA Benchmark Is Not a Commissioning Package
Why benchmark success still needs an operating envelope, runtime monitoring and a defined response before deployment.
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Most Robot Policies Don't Need Tactile Input. The Test Is Whether Vision Can See What Decides the Task.
A visibility-first test for deciding whether tactile sensing belongs in the learned policy, the controller or only the training rig.