A working robot may include a body, a movement unit, a working unit, a magnetic sensor supported by the body, and a control unit. The control unit may be configured to execute a working operation of causing the working unit to work while causing the movement unit to move the body. The control unit may execute, during the working operation, an operation-suspending process of suspending the working operation when a predetermined operation-suspending condition is satisfied, a first magnetic field searching process of causing the movement unit to move the body straight in a first linear direction by a first distance and assessing whether a wire magnetic field is detected by the magnetic sensor after the operation-suspending process, and an operation-resuming process of resuming the working operation when the wire magnetic field is detected by the magnetic sensor.

A system for guiding a vehicle is provided. The system includes multiple paths on a surface, wherein each path is defined by light projection characteristics of a respective light projection defining a respective path. The system also includes the vehicle. The vehicle includes a sensor configured to detect the light projection characteristic of the respective path of the multiple paths, and a controller guide the vehicle along the respective path with a light projection characteristic that matches an expected light projection characteristic that is assigned to the vehicle.

An agricultural support system includes an unmanned aerial vehicle including a sensor, and an agricultural machine to travel in an agricultural field. When an abnormality occurs in the unmanned aerial vehicle while the agricultural machine performs work in the agricultural field in cooperation with the unmanned aerial vehicle, the unmanned aerial vehicle or the agricultural machine performs an operation different from an operation during the work.

A robot device includes: a sensor configured to generate sensing data related to an action of the robot device; a communication interface configured to communicate with a server; a memory storing instructions; and a processor configured to execute the instructions to: based on the action of the robot device changing, store action data in the memory, the action data including instruction data corresponding to the action, the sensing data related to the action, and map data related to the action, transmit, to the server via the communication interface, the action data stored in the memory, receive, from the server via the communication interface, threshold data corresponding to the action, and based on identifying that the sensing data is outside of a threshold range based on the threshold data received from the server, generate an event.

This disclosure relates to apparatuses, systems, and methods for handling faults on vehicles. One or more processors in a vehicle may receive, from a control unit in response to a detection of a fault in the vehicle, an indication of a degradation in a performance constraint of the vehicle. The processors may determine, responsive to the degradation in the performance constraint, that the vehicle is unable to execute a set of commands to control a movement of the vehicle along a trajectory. The processors may generate, in accordance with the degradation in the performance constraint, a modified set of commands that the vehicle is able to execute to control the movement of the vehicle along at least a portion of one or more trajectories. The processors may provide the modified set of commands to the control unit of the vehicle to control the movement of the vehicle.

A system, computer readable storage medium and method for controlling a trajectory of coordinated time-varying maneuvers of a geometric formation of unmanned vehicles is disclosed. The system includes unmanned vehicles, each configured with communication circuitry to communicate between the vehicles. A subset of the unmanned vehicles function as leader vehicles, with the remaining vehicles functioning as follower vehicles for leader-follower maneuvering. The system further includes an actuator suite configured to adjust the direction and orientation of each vehicle, a sensor suite for stabilization and navigation, and a flight controller for maintaining stable maneuvering, even in the presence of actuator faults and sensor deception attacks. Processing circuitry is configured with a reinforcement learning neural network that includes identifier, actor, and critic radial basis function neural networks to estimate movement, adjust control actions, and assess vehicle performance based on feedback signals, including corrupted signals from the sensor suite due to deception attacks.

An automatic watercraft maneuvering system includes a propulsion device, a steering, a position sensor, a camera, and a controller configured or programmed to execute an automatic watercraft maneuvering control to control the propulsion device and the steering in order to perform automatic watercraft maneuvering from a departure location to a destination location. The automatic watercraft maneuvering control includes a camera watercraft maneuvering control and a position sensor watercraft maneuvering control. The controller is configured or programmed to, when a failure occurs in the position sensor in a predetermined area of water in which the automatic watercraft maneuvering is executable using the camera watercraft maneuvering control, cause the watercraft to head to a predetermined target position in the predetermined area of water in which the failure occurs during the camera watercraft maneuvering control.

Embodiments of the present application provide a method, device, storage medium, and electronic device for controlling flight equipment, wherein the method includes: acquiring positioning position information from a positioning system deployed on a target flight equipment; detecting an operating state of the positioning system according to positioning position information, wherein the operating state comprises: normal state and abnormal state; when the operating state is an abnormal state, controlling the target flight equipment to return to a ground control terminal according to the relative position information between the target flight equipment and the ground control terminal of the target flight equipment.