What Are Underwater Robot Fleets?
Autonomous Underwater Vehicles (AUVs) are robots that explore the ocean without human operators. They map the seafloor, monitor marine life, inspect infrastructure, and collect data in environments too deep or dangerous for human divers. By deploying multiple robots as a coordinated fleet, we can survey vast ocean areas far more efficiently than a single vehicle.
Why does this matter? Over 80% of the ocean floor remains unmapped. Coordinated AUV fleets using sonar, cameras, and acoustic communication can map terrain, discover new species, monitor climate change effects, and inspect critical underwater infrastructure — all autonomously.
📖 Deep Dive
Analogy 1
Think of an AUV fleet like a team of bloodhounds searching a dark forest — each robot independently covers ground, communicating finds to the group through acoustic 'barks' in the water, building a shared map of the unexplored territory.
Analogy 2
Coordinating underwater robots is like managing a group of scuba divers in zero-visibility water — they can't see each other, can only communicate through slow sound signals, and must avoid collisions while collectively completing the survey.
🎯 Simulator Tips
Beginner
Deploy a small fleet and watch acoustic communication coordinate exploration.
Intermediate
Add ocean currents and murky conditions to test fleet adaptation.
Expert
Design a multi-depth fleet with heterogeneous robots for mapping, sampling, and relay.
📚 Glossary
🏆 Key Figures
Robert Ballard (1985)
Oceanographer who discovered Titanic wreck using ROVs, pioneering deep-sea telepresence exploration
James Cameron (2012)
Filmmaker who piloted Deepsea Challenger solo to the Mariana Trench's deepest point
Hanumant Singh (2004)
WHOI researcher developing multi-AUV mapping systems for deep ocean exploration
Stefan Williams (2012)
University of Sydney marine robotics researcher advancing AUV perception and reef monitoring
Cecilia Laschi (2012)
Sant'Anna School researcher developing soft underwater robots inspired by octopus movement
🎓 Learning Resources
- Autonomous Underwater Vehicles: Modeling, Control Design and Simulation [paper]
Comprehensive textbook on AUV dynamics, control, and navigation (2011) - Cooperative Mapping and Exploration with Multiple AUVs [paper]
Algorithms for coordinated underwater multi-robot exploration (IJRR, 2012) - MBARI [article]
Monterey Bay Aquarium Research Institute advancing underwater robot technology for ocean science - Woods Hole Oceanographic Institution [article]
Leading institution in underwater vehicle research and deep-sea exploration