Build, research, return to the field

Physical AI needs a research loop.

A source-bounded reading of the supplied post: keep building and researching, especially around Base and robotics, while watching Strike Robot AI's stated direction in physical AI. The visible text does not provide product demos, benchmarks, customers, or infrastructure details.

What the post says

“Keep build and research Especially for Base, for robotic, for Stike Robot AI.”

The source names Strike Robot AI as a rapidly rising physical-AI player and says it is developing an intelligence layer and simulation infrastructure. Those are the visible claims, not independently verified results.

Research lens

Thesis

Simulation is the bridge from code to motion.

The post points toward a stack where intelligence and simulation support physical systems. A useful research loop should ask what is simulated, how it transfers to hardware, and how performance is measured.

Evidence gaps

Claim / proof

Claim: Strike Robot AI is developing an intelligence layer and simulation infrastructure.

Proof still needed: model behavior, simulator scope, hardware transfer, evaluation tasks, safety practice, and deployment evidence.

Your research question

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