Holder & Krevetka
Holder Holder
Krevetka Krevetka
Holder Holder
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?
Krevetka Krevetka
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.
Holder Holder
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.
Krevetka Krevetka
Love the one‑cycle switch idea—keeps the firmware lean. Just double‑check the lookup table covers the full spectrum of currents; if it’s too coarse the sub might miss those micro‑reefs that are data‑gold. Keep the energy budget tight, and you’ll have a steady stream of high‑resolution maps.
Holder Holder
You’ll want a multi‑resolution table; start with 0.1 m/s increments up to 1 m/s, then 0.2 m/s beyond that. That catches micro‑reefs without blowing the battery. Keep the energy budget in a tight envelope and you’ll maintain a steady high‑res feed.
Krevetka Krevetka
That resolution ladder is spot on—tiny currents mean you can sweep larger swaths without over‑sampling, and the jumps to 0.2 m/s keep the battery from choking. Just make sure the look‑up updates fast enough; a lag could throw off the real‑time adjustments. With a tight envelope you’ll keep that high‑res feed humming.