Physical action has a clock
A robot operates in a world where milliseconds, network availability and sensor continuity can matter. Moving more capability onto a device does not solve every performance or safety problem. It does change the operational equation. Local inference can reduce latency, simplify operation in constrained environments and make a system less dependent on a continuous remote connection.
The hardware-software boundary is strategic
Foundation models create a new layer of abstraction for robot behaviour, but their value is constrained by the hardware that delivers sensing, compute, power and control. On-device deployment therefore makes the boundary between model architecture and physical design more important. The relevant question is not simply whether a model runs locally. It is whether it can be adapted, monitored and constrained in the specific machine and environment where it will act.
What to watch
Watch for evidence of practical adaptation: low-latency response, reliable perception under local constraints, safe handoffs between high-level reasoning and low-level control, and repeatable task performance after fine-tuning. The strategic shift appears when local intelligence gives a robot a more useful operating range without making its failure modes less legible.