Unpredictable hydrodynamic turbulence destabilizes underwater vehicle positioning and navigation. This engineering approach integrates pressure-sensing arrays and neural processing to synchronize robotic fin actuation with real-time flow velocity data.
Submerged autonomous systems suffer from limited situational awareness in turbid or complex aquatic environments where traditional vision fails. Overcoming this sensory deficit allows for precise navigation and obstacle avoidance in high-risk recovery or monitoring scenarios.