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cylindrical shell; variable stiffness; buckling; design and optimization; AUV; surrogate-model; path-following; vector field; obstacle avoidance; velocity obstacle algorithm; nonlinear autopilot; underactuated surface ship model; underwater glider; predetermined depth; fuzzy adaptive; LADRC; system identification; ship maneuvering model; gaussian process; prediction uncertainty; unmanned surface vehicles; dynamic obstacle avoidance; dynamic navigation ship domain; local path planning; COLREGs; homing and docking; vision-based guidance; target point/line planning and following; thrust allocation; machine vision; target detection; YOLOv5; loss function; unmanned ship; autonomous underwater vehicle (AUV); subsea production system (SPS); inspection of underwater object; stereo images; navigation; coordinate referencing; trajectory tracking; unmanned surface vehicle; model identification; line-of-sight; motion planning; MASS; multi-objective optimization; complex navigation conditions; manoeuvring model; parameter estimation; singular values; free-running model tests; truncated singular value decomposition; fishing vessel; shallow water; maneuverability; empirical formula; navigation situation; human-operated ship; clustering; testbed scenario; artificial potential field; collision avoidance; maritime autonomous surface ships; path planning; ship classification; automatic identification system (AIS); convolutional neural network (CNN); trajectory image; ship target identification; track; neural network; Bayes; ship’s manoeuvrability; model tests data; artificial neural networks; n/a