This research examines navigation and control systems for autonomous underwater cargo vessels as a future solution for maritime transport facing climate change, congestion, and energy efficiency challenges. The study analyzes acoustic positioning systems (LBL, SBL, USBL) combined with inertial, optical, and magnetic navigation methods, with Long Baseline systems providing the highest accuracy using seabed transponders. The presentation details integrated navigation algorithms using INS, DVL, and Kalman filters to maintain precise trajectories even during sensor failures, along with a three-level hybrid control architecture comprising strategic, tactical, and executive layers for adaptable mission control. The research compares underwater communication technologies: acoustic (long range, low data rate), radio frequency (short range, medium speed), and optical/laser (short range, high speed up to Gbps). Key findings include the feasibility of a 500 km² underwater relay network with 100 nodes achieving over 80% coverage, vertical antenna arrays mitigating 7-15 km acoustic shadows, and submerged navigation reducing fuel consumption by 20-30% by eliminating wave-making resistance and wind effects. The study concludes that civil underwater cargo networks using hybrid communication represent the next step in sustainable ocean logistics.