[Lazaruscv]

True, for isolated signals, absolutely. But in real-world robotics systems, the challenge isn’t doing the math, it’s seeing the context.

Timing drift or sensor desync rarely appear as clean numerical mismatches, they emerge across hundreds of async topics, network delays, or subtle hardware degradations. Arithmetic can flag the symptom, but not always the cause or pattern that leads to it.

The idea behind AI here isn’t to replace deterministic checks, it’s to augment them. Think of it as spotting correlations or early warning trends that static rules can’t (like cross-sensor covariance shifts before failure).

Arithmetic finds the what; AI helps predict the why and when.