
Autonomous fleets coordinate through position: update rate, latency, and relative accuracy set the safe minimum distance between machines and the ceiling on fleet density and throughput.
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Protecting people among machines is the least forgiving RTLS application: the technology must see through obstructions, update continuously, and never mistake signal artefacts for safe distance.
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A twin that drives flow optimization and automation decisions inherits every weakness of its location layer: stale or zone-level data produces confident, wrong conclusions at scale.
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