AI-assisted autonomous underwater vehicles (AUVs)
Prototype tested · full-scale concept
Autonomous vehicles already do most deep-sea mapping. The new idea is to let them do the collecting too: survey a nodule field first, build a map of where the nodules are dense and where the sponges, corals and other animals live, then plan a route that takes the nodules and avoids the habitat. The vehicle then follows that route without a person driving.
The most-discussed example is Impossible Metals' Eureka series. Eureka II is a test vehicle; Eureka III is the full-scale concept. Both are untethered — no cable to the ship — and hover a short distance above the seabed on controlled buoyancy rather than driving on it. Robotic arms pick individual nodules one at a time. A camera and on-board computer vision look at each nodule first and, if there is visible life on it, the vehicle is meant to leave that one where it is. When the batteries run low, the robot surfaces, swaps packs on the vessel, and goes back down.
Tethered vehicles (the usual ROV) are powered and controlled through a cable, which is reliable but limits how many can work and how far they can roam. Untethered vehicles trade that cable for batteries and autonomy: freer to move, but limited by energy and by how well the software copes with the unexpected.
What it’s meant to solve
- Removes the tracked vehicle and the scraping head — no driving on the sediment
- Selective pickup can leave nodules that carry life, and skip mapped habitat entirely
- Route planning from survey data shrinks the footprint to where nodules are dense
What’s still unproven
- Picking one nodule at a time is slow; commercial rates would need fleets of robots, which has not been demonstrated
- Vision-based 'leave it' decisions have not been independently verified at 4,000–5,000 m in real sediment and lighting
- Battery swaps and untethered navigation at scale, and the noise of many vehicles, are untested