Underwater Vehicle

Underwater vehicles, encompassing autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), and buoyancy-controlled vehicles, are crucial for exploring and monitoring subsea environments. Current research emphasizes improving navigation and control in challenging conditions, such as under-ice environments or near marine energy devices, using techniques like Kalman filters, reinforcement learning, and model predictive control alongside advanced sensor fusion (e.g., sonar and pressure sensors) and AI-driven optimization of hull design and trajectory planning. These advancements are enabling more efficient and reliable data collection for scientific research (e.g., oceanographic studies, biological sampling) and practical applications (e.g., aquaculture monitoring, subsea infrastructure inspection).