A method of controlling a vessel having a plurality of thrusters, where the vessel is configured to operate in a bias mode where at least two of the thrusters provide thrust forces at least partly in opposite thrust directions, the method including estimating, by a control system, an operational condition associated with the vessel; and commanding, by the control system and based on the estimation, execution of a countermeasure associated with an activation of the bias mode, a deactivation of the bias mode or a change of a bias level of the bias mode. A control system and a vessel are also provided.

A submersible vessel comprises a hull. The hull contains a plurality of subsystems. The subsystems comprise a sensor subsystem configured to sense potential target information regarding a potential target, a database subsystem configured to store target characterization information, a processing subsystem coupled to the sensing subsystem and to the database subsystem, and an ordnance subsystem. The processing subsystem is configured to process the potential target information according to the target characterization information to confirm the potential target as being a confirmed target. The ordnance subsystem comprises an ordnance magazine configured to store ordnance. The ordnance is deployable against the confirmed target, wherein the confirmed target is an aircraft.

Navigation system (300) for land, air, marine or submarine vehicle (302), comprising a remote control workstation (301) with Manual control mode (310), Mission Planning mode (330) and tactical control mode (360) initiating command-and-control options; a navigation module (100) retrofittably disposed on the vehicle (302); a plurality of perception sensors (318) disposed on the vehicle (302); the system (300) receives manual, electrical, radio and audio commands of human operator (305) in the manual control (310) and mission planning mode (330) and converts them to dataset for training a navigation model having a navigational algorithm. The perception sensors (318) generate dataset for self-learning in real time in manual control mode (310), mission control mode (330) and tactical control mode (360); the navigational system (300) autonomously navigates with presence of communication network (390) and in absence of communication network (390).

A computer system includes processing circuitry configured to: obtain data indicative of a target total lift force to be generated by a front hydrofoil arrangement of a marine vessel and by a rear hydrofoil arrangement of the marine vessel, wherein the target total lift force is associated with a constant heave of the vessel; determine a lift force discrepancy between a current lift force of the vessel and the target total lift force, based on a state of the rear hydrofoil arrangement; and adjust an angle of attack of the front hydrofoil arrangement to compensate for the lift force discrepancy.

This automatic takeoff/landing system for a vertical takeoff/landing aircraft comprises: a relative wind information acquisition unit that acquires the direction of relative wind at a moving object; and a control unit that executes takeoff/landing control to cause the vertical takeoff/landing aircraft to takeoff/land at a landing target point provided on the moving object. The control unit, during takeoff/landing of the vertical takeoff/landing aircraft, executes the takeoff/landing control on the basis of the direction of the relative wind acquired by the relative wind information acquisition unit, in a state in which the aircraft heading of the vertical takeoff/landing aircraft is caused to face the direction of the relative wind.

Architectures and techniques are for significantly improving operation of unmanned underwater vehicles (UUVs). For example, a UUV can have modular interfaces that can be configured to interchangeably connect different types of sensors to facilitate different UUV applications, to interchangeably connect different types of clamping devices that can be configured for different types or sizes of underwater pipe, and can comprise a mother ship interface that can be used to exchange information and supply a fluid for the clamping device. The UUV can comprise a PID controller that can be used for autonomous navigation to a target location of the underwater pipe and autonomous coupling, via the clamping device, to the underwater pipe.

This disclosure describes monitoring and operating subsea well systems, such as to perform operations in the construction and control of targets in a subsea environment. A submersible ROV that performs operations in the construction and control of targets (e.g., well completion components) in a subsea environment, the ROV has one or more imaging devices that capture data that is processed to provide information that assists in the control and operations of the ROV and/or well completion system while the ROV is subsea.

The present disclosure discloses a bionic cuttlefish-typed underwater detection robot, including a bionic cuttlefish-typed body structure, a piezoelectric energy capture device, a circuit rectification and storage assembly and a power control assembly. The bionic cuttlefish-typed body structure includes a head and a main body; the piezoelectric energy capture device includes piezoelectric ceramic elements arranged around the main body and PVDF floating belts, and an end of each piezoelectric ceramic element is connected to a spherical spoiler component, the PVDF floating belts are evenly distributed at a tail end of the main body. The present disclosure adopts piezoelectric ceramic elements with spoiler components and PVDF floating belts to generate electricity, converts wave energy and ocean current energy into electric energy, powers the power control assembly of the detection robot. It has high power generation efficiency and stable current, and realizes the autonomous operation of the underwater detection robot.

A method for shoreline segmentation in complex environments based on the perspective of an unmanned surface vessel is provided. A visible light image, a thermal infrared image and a raw radar echo image of a shoreline are obtained. The visible light image and the thermal infrared image are subjected to fusion and feasible region segmentation to obtain an all-weather two-dimensional image information of the shoreline, and an echo image including tiny features is obtained based on the raw radar echo image. An extraction region is constrained and shoreline features are enhanced based on the all-weather two-dimensional image information and the echo image to obtain a multi-feature point cloud dataset for shoreline segmentation.

The present disclosure discloses a bionic cuttlefish-typed underwater detection robot, including a bionic cuttlefish-typed body structure, a piezoelectric energy capture device, a circuit rectification and storage assembly and a power control assembly. The bionic cuttlefish-typed body structure includes a head and a main body; the piezoelectric energy capture device includes piezoelectric ceramic elements arranged around the main body and PVDF floating belts, and an end of each piezoelectric ceramic element is connected to a spherical spoiler component, the PVDF floating belts are evenly distributed at a tail end of the main body. The present disclosure adopts piezoelectric ceramic elements with spoiler components and PVDF floating belts to generate electricity, converts wave energy and ocean current energy into electric energy, powers the power control assembly of the detection robot. It has high power generation efficiency and stable current, and realizes the autonomous operation of the underwater detection robot.