A device for launching and recovering a sonar is disclosed. The device has a linear receiving antenna and a volume transmitting antenna incorporated in a volume body called fish, the sonar being towed by a surface vessel by a towing line a towing cable from which the fish is suspended, and the linear antenna being secured behind the cable relative to the vessel. The device has a towing winch that includes a frame secured to the surface vessel, making it possible to wind and unwind the towing line around a reel. The reel includes two parts that are rotationally mobile about an axis of rotation, the two parts being coupled, the first part having a cylindrical form on which the towing line is intended to be wound, the second part forming a first abutment intended to accommodate the fish.

A device for launching and recovering a sonar is disclosed. The device has a linear receiving antenna and a volume transmitting antenna incorporated in a volume body called fish, the sonar being towed by a surface vessel by a towing line a towing cable from which the fish is suspended, and the linear antenna being secured behind the cable relative to the vessel. The device has a towing winch that includes a frame secured to the surface vessel, making it possible to wind and unwind the towing line around a reel. The reel includes two parts that are rotationally mobile about an axis of rotation, the two parts being coupled, the first part having a cylindrical form on which the towing line is intended to be wound, the second part forming a first abutment intended to accommodate the fish.

Proposed is a control method of an underwater robot equipped with a multi-degree-of-freedom robot arm according to an exemplary embodiment, including: a) step 1-1th of obtaining a propulsive force prediction value by predicting a propulsive force of the underwater robot based on an artificial neural network and configuring a sensorless propulsion controller equipped with a propulsion system to control a speed of the underwater robot; and b) step 1-2th of configuring a underwater robot manipulator (URM) controller that obtains a torque prediction value by predicting an output torque of an actuator constituting the multi-degree-of-freedom robot arm provided in the underwater robot based on the artificial neural network.

Proposed is a control method of an underwater robot equipped with a multi-degree-of-freedom robot arm according to an exemplary embodiment, including: a) step 1-1th of obtaining a propulsive force prediction value by predicting a propulsive force of the underwater robot based on an artificial neural network and configuring a sensorless propulsion controller equipped with a propulsion system to control a speed of the underwater robot; and b) step 1-2th of configuring a underwater robot manipulator (URM) controller that obtains a torque prediction value by predicting an output torque of an actuator constituting the multi-degree-of-freedom robot arm provided in the underwater robot based on the artificial neural network.

The disclosure provides a communication delay compensation method and a communication delay compensation system based on an autonomous robot, where the method includes the following steps: establishing a state equation based on a system model of an AUV positioning system; acquiring an included angle between a direction vector of AUV to an observation station and a velocity vector of AUV based on the system model; establishing an observation equation according to the state equation and the included angle; establishing an extended Kalman filter equation based on the system model, the included angle and the observation equation; and calculating a position information predicted value at the current time by using the extended Kalman filter equation to complete communication delay compensation.

The disclosure provides a communication delay compensation method and a communication delay compensation system based on an autonomous robot, where the method includes the following steps: establishing a state equation based on a system model of an AUV positioning system; acquiring an included angle between a direction vector of AUV to an observation station and a velocity vector of AUV based on the system model; establishing an observation equation according to the state equation and the included angle; establishing an extended Kalman filter equation based on the system model, the included angle and the observation equation; and calculating a position information predicted value at the current time by using the extended Kalman filter equation to complete communication delay compensation.

The invention relates to an underwater work system 1 with at least one autonomous unmanned underwater vehicle 2 and one unmanned relay vehicle 4 floating at the surface of the water 3, which comprises a radio antenna 5 for external communication 26 and a drive 16. The underwater vehicle 2 is connected to the relay vehicle 4 via an internal communication device. The invention furthermore relates to a method for operating an underwater work system. In order to create an underwater work system with an autonomous underwater vehicle and an unmanned relay vehicle floating at the surface of the water as well as a method for operating such an underwater work system, which provides an increased efficiency of the autonomous underwater vehicle 2 with short mission times, it is provided according to the invention that the relay vehicle 4 is controllable by means of a control unit 16 via the at least one autonomous underwater vehicle 2 in due consideration of navigation information 17.

The invention relates to an underwater work system 1 with at least one autonomous unmanned underwater vehicle 2 and one unmanned relay vehicle 4 floating at the surface of the water 3, which comprises a radio antenna 5 for external communication 26 and a drive 16. The underwater vehicle 2 is connected to the relay vehicle 4 via an internal communication device. The invention furthermore relates to a method for operating an underwater work system. In order to create an underwater work system with an autonomous underwater vehicle and an unmanned relay vehicle floating at the surface of the water as well as a method for operating such an underwater work system, which provides an increased efficiency of the autonomous underwater vehicle 2 with short mission times, it is provided according to the invention that the relay vehicle 4 is controllable by means of a control unit 16 via the at least one autonomous underwater vehicle 2 in due consideration of navigation information 17.

There is provided a computerized method of controlling ascent of an underwater vehicle (UV) from a safety depth to a water surface, the method comprising: at safety depth, controlling the UV to collect, from a passive sonar associated with the UV, first data indicative of first locations of surface targets within a first surface area of interest; controlling ascent of the UV to an intermediate depth in accordance with the first data; at the intermediate depth, controlling the UV to collect second data indicative of second locations of surface targets within a second surface area of interest, wherein the second data comprises one or more of: data from a passive sonar, data from one or more magnetic sensors, data from an active sonar, data from a light detection and ranging (LIDAR) scanner; and controlling ascent of the UV to a periscope depth in accordance with the second data.

There is provided a computerized method of controlling ascent of an underwater vehicle (UV) from a safety depth to a water surface, the method comprising: at safety depth, controlling the UV to collect, from a passive sonar associated with the UV, first data indicative of first locations of surface targets within a first surface area of interest; controlling ascent of the UV to an intermediate depth in accordance with the first data; at the intermediate depth, controlling the UV to collect second data indicative of second locations of surface targets within a second surface area of interest, wherein the second data comprises one or more of: data from a passive sonar, data from one or more magnetic sensors, data from an active sonar, data from a light detection and ranging (LIDAR) scanner; and controlling ascent of the UV to a periscope depth in accordance with the second data.