An underwater cleaning robot contains a movement device for moving the underwater cleaning robot under water, a cleaning device for cleaning an object located under water, a control device for controlling the movement device and/or the cleaning device and a communication device for receiving and/or transmitting signals from outside the underwater cleaning robot and vice versa. The communication device contains a first ultrasonic transducer for receiving ultrasonic signals transmitted under water and is designed to transmit electrical signals, corresponding to the ultrasonic signals received, to the control device.

The disclosure provides a method and system for trajectory tracking control of a vehicle-manipulator coupling system with finite time prescribed performance. Specifically, the trajectory tracking error of the vehicle-manipulator coupling system is obtained. A finite time performance function is designed to constrain the trajectory tracking error. In a case the constraint conditions corresponding to the finite time performance function are satisfied, the trajectory tracking error is converted to obtain a transformed error. The sliding mode surface is designed based on the transformed error to control the transformed error to converge in a finite time, and the external disturbance of the vehicle-manipulator coupling system is observed based on non-linear disturbance observer. The control input of the vehicle-manipulator coupling system is designed based on the sliding mode surface and the non-linear disturbance observer output. This ensures that the vehicle-manipulator coupling system can be controlled to operate precisely along the desired trajectory.

Disclosed herein is a method of detecting stalled state of a dynamic pool equipment unit, comprising receiving a plurality of movement features relating to a dynamic pool equipment unit deployed in a water pool which are captured during a predefined sampling window and comprise (1) motion features of the pool equipment unit, and (2) operational features of electric motor(s) of the pool equipment unit, determining a movement pattern of the pool equipment unit using one or more statistical models applied to the plurality of movement features which are trained to estimate a stalled state of the pool equipment unit in which the pool equipment unit is pitched up and unable to advance on a slopped obstacle in the water pool, and causing the pool equipment unit to stop attempted advance in a current direction responsive to determining that the pool equipment unit is in the stalled state.

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.

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.

A method includes: calculating a first difference between a current actual attitude of a fuselage and a desired attitude and a second difference between an actual depth and a desired depth; inputting the first difference and the second difference into a set terminal sliding mode surface to obtain an output value of the terminal sliding mode surface; using the output value as an input of a preset high-order observer, a radial basis function neural network and a terminal sliding mode control law, respectively, and using an output of the high-order observer and an output of the radial basis function neural network as a compensation input of the terminal sliding mode control law; performing power distribution for each propeller of a propeller assembly on the basis of the virtual force to obtain a propelling force of each propeller; and controlling the propellers of the underwater submersible robot.

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.

A system for navigating a dynamic pool equipment unit is disclosed. The system comprises a wireless unit physically connected to the dynamic pool equipment unit deployed in a water pool, allowing the wireless unit to move with the equipment while partially out of the water. The wireless unit includes a first interface for communicating with the equipment unit via a first communication channel, and a second interface for intercepting wireless signals from external stations via a wireless communication channel. A controller navigates the equipment unit towards the external station(s) by measuring the received signal strength indicator (RSSI) of intercepted wireless signals, estimating the direction of the external station(s) based on RSSI analysis, and transmitting movement instructions to the equipment unit to advance in the estimated direction.

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.