A subsea vehicle capable of supporting inspection of underwater objects while underway includes a body that provides a capability to allow the subsea vehicle to submerge underwater and follow or position near an object while maintaining an orientation to the object appropriate for inspection of, and safety requirements for, the object. The vehicle includes a set of deployable, semi-rigid arms to support the movement of inspection sensor probes near or lightly touching the inspection target with the probes. A controller helps tracks the intended inspection object using various sensor inputs along with a priori knowledge of the object to drive and position the subsea vehicle such that the appropriate orientation to the inspection target is maintained.

A field configurable autonomous vehicle includes modular elements and attachable components. The vehicle can be assembled from these modular elements and components to meet desired mission and performance characteristics without the need to purchase specially designed vehicles for each mission. The vehicle can include a module that enables the vehicle to be scuttled or destroyed.

A field configurable autonomous vehicle includes modular elements and attachable components. The vehicle can be assembled from these modular elements and components to meet desired mission and performance characteristics without the need to purchase specially designed vehicles for each mission. The vehicle can include a modular propulsion system with magnetic drive.

The invention discloses an integrated detection method of electromagnetic searching, locating and tracking for subsea cables. After being launched into water, the cable-tracking AUV carries out primary Z-shaped reciprocating sailing to search the electromagnetic signal of the target subsea cable, when the electromagnetic signal reaches a preset threshold value, the AUV executes the cable-tracking detection. In the tracking process, if the target electromagnetic signal intensity is lower than the preset threshold, it is determined that subsea cable tracking is lost. At this time, the secondary Z-shaped cable-researching route planning and tracking are performed based on the lost point. In the process that the AUV autonomously tracks and detects the subsea cable, relative locating between AUV and subsea cable is performed based on the electromagnetic signal radiated by the subsea cable, and autonomous tracking control under the guidance of the electromagnetic locating signal is performed.

A system for ocean bottom node (OBN) deployment can include a first deployment device located on a marine vessel, a second deployment device located on the marine vessel, a first line coupled to the first deployment device and comprising a first plurality of OBNs, and a second line coupled to the second deployment device and comprising a second plurality of OBNs. The first deployment device and the second deployment device can be configured to deploy and retract the first line and the second line simultaneously.

An unmanned undersea vehicle includes one or more vehicle sections. The sections include a vehicle hull. The vehicle includes a data crypt configured to be selectively removable from the vehicle through the hull of the vehicle. The data crypt includes a persistent storage device configured to operate using SATA protocols and one or more electrical connectors configured to selectively connect the data crypt to electrical equipment in the vehicle, wherein the connectors are impedance matched to mating connectors in the vehicle.

The invention relates to the field of special purpose robotic systems to conduct external functions such as cleaning, monitoring and inspection of structures such as tubular assets in a splash zone. The splash zone is defined as the section of a marine structure that is periodically in and out of water due to the action of waves or tides, usually falling within (+)10m to (−)20m water depth. In embodiments, splash zone inspection robot system 1 comprises station 300, submersible saddle 350, submersible robot 400, and subsea robot controller 308. A predetermined set of controllable clamps selectively secure submersible robot 400 to submersible saddle 350 or structure 2 and allow incremental traversal along submersible saddle 350 or structure 2.

The present invention provides an operating method and an operating system of a multiple underwater vehicles 30, wherein exploration missions and exploration depths of the multiple underwater vehicles 30 are differently set in the underwater vehicles 30 for exploring a water bottom, the multiple underwater vehicles 30 are submerged to the respective set exploration depths, the multiple underwater vehicles 30 are made to cruise at the respective set exploration depths to execute the exploration missions, and execution results of the exploration missions are recorded and/or transmitted. According to this, it is possible to deploy and operate the multiple underwater vehicles and safely and efficiently explore the water bottom.

A field configurable autonomous vehicle includes modular elements and attachable components. The vehicle can be assembled from these modular elements and components to meet desired mission and performance characteristics without the need to purchase specially designed vehicles for each mission. The main body of the vehicle is a spherical body.

Disclosed is path planning system and method for sea-aerial cooperative underwater target tracking, the method comprises: obtaining the position information of a detection target, carrying out a first path planning along a channel of sea surface monitoring device according to the position information of the detection target; carrying out a second path planning along the channel of sea surface monitoring device according to the water surface navigation map and its own position information, constructing an underwater obstacle map; performing a third path planning according to the underwater obstacle map, and tracking to the position of the detection target to complete the tracking task. This disclosure adopts the collaborative optimization of several clusters to reduce the number of iterations and improve the optimization efficiency, making the path planning reasonable, as a result, the target position can be quickly tracked, and the autonomous collaborative tracking capability is improved.