Holder & Krevetka
Hey, I was thinking about how to make an autonomous sub that can map coral reefs with minimal energy while maximizing data quality. What do you think about using a predictive sampling algorithm that adjusts in real time based on water currents and reef density?
Sounds brilliant—real‑time adaptive sampling could make a huge difference, especially if the algorithm can weigh current flow against reef density to pick the best spots. Just watch that the energy cost of switching modes doesn’t eat into the mission time, or the data stream gets choked by too many rapid adjustments. Keep it tight, and you’ll get high‑quality maps without burning through the battery.
Nice, just keep the state changes to a single instruction cycle and pre‑compute a lookup for energy per switch. That way you can stay in the high‑gain mode until the battery dips below a threshold, then jump to low‑power sampling. Keeps the stream steady and the battery happy.