A shovel includes a lower traveling body, an upper turning body mounted on the lower traveling body; and a receiver, a direction detecting device, a controller, and a display device mounted on the upper turning body, wherein the receiver is configured to receive an image captured by a camera-mounted autonomous aerial vehicle, the direction detecting device is configured to detect a direction of the shovel, the controller is configured to generate information related to a target rotation angle of the camera-mounted autonomous aerial vehicle based on the direction of the shovel, and the display device is configured to display the captured image in a same direction as a direction of an image that is captured when the camera-mounted autonomous aerial vehicle rotates by the target rotation angle.

A system for the remote care of an item of vegetation used as a potential source of food for an animal, to include at least one of a proximity tag, RFID tag, transponder device, a predetermined machine-readable pattern, and geo-location device associated with the item of vegetation, and an aerial drone. The aerial drone includes a microprocessor, a sensor coupled to the microprocessor and configured to detect the at least one of the proximity tag, RFID tag, transponder device, predetermined machine-readable pattern, and the geo-location device, and a carrier configured to carry a substance comprising at least one of a solid, gas, and liquid. The aerial drone is configured to act in response to instructions issued by the microprocessor.

The present disclosure provides a method for controlling a drone, a drone, and a system. The method for controlling a drone comprises: determining operating parameters of a moving platform according to field-of-view images containing the moving platform collected at any two different moments and flight parameters of the drone; calculating a time-varying tracking position of the moving platform based on the operating parameters; controlling the drone to track the moving platform according to the time-varying tracking position of the moving platform; and controlling the drone to perform a landing operation according to a relative position of the moving platform and the drone during tracking. The technical solutions according to the present disclosure have high landing accuracy, rely less on device performance and have high versatility.

Systems, devices, and methods for stopping the rotation of propellers used in unmanned aerial vehicles (UAV) such as drones are disclosed. The propellers are stopped in response to detecting when beams of light adjacent the propellers are blocked.

Provided are a method and device for setting a flight path reflecting an air space of a drone. The method may include receiving flight data collected by the drone; calculating a path error score indicating an extent of deviation of the drone from a planned flight path by comparing the received flight data with the planned flight path of the drone; adjusting the preset air space of the drone based on the path error score; and generating a new flight path of the drone based on the adjusted air space of the drone and a destination.

The robot system includes a robot having a robot body and a robot controller configured to control operation of the robot body, and an unmanned aerial vehicle capable of autonomous flight. The unmanned aerial vehicle acquires at least one of image pick-up data of a work of the robot body and positional information of a work object of the robot body, and transmits at least one of the image pick-up data and the positional information to the robot controller. The robot controller receives at least one of the image pick-up data and the positional information of the work object, and controls the operation of the robot body by using at least one of the image pick-up data and the positional information of the work object.

A computer system obtains, using a camera, a first plurality of images of a canopy an agricultural plot. For each respective fruit of a plurality of fruit growing in the agricultural plot, the computer system identifies a first respective image in the first plurality of images that comprises the respective fruit. The first respective image has a corresponding first camera location. The computer system also identifies a second respective image in the first plurality of images that comprises the respective fruit. The second respective image has a corresponding second camera location. The computer system uses at least i) the first and second respective images and ii) a distance between the first and second camera locations to determine a corresponding size of the respective fruit.

A tethered unmanned aerial spraying system comprising a tether line, a power source, a plurality of supporting beams and a plurality of pairs of motorized propellers, wherein each pair of motorized propellers is supported by the ends of a corresponding supporting beam, and a control unit configured to control each motorized propeller. The tether line includes a flexible hose for delivering spraying agent and a power line, supplying electricity to the motorized propellers from the power source. At least a portion of the tether line is covered by a rigid frame and is carried thereby, wherein the supporting beams are attached to the rigid frame so as to be arranged longitudinally to one another, and the neighboring supporting beams of pairs of motorized propellers have unequal length. The system provides compact configuration of an easily deployable system having increased stability and improved lifting capabilities or energy-effectiveness.

A security monitoring system may implement a method for surveilling an outdoor area using a drone. The method involves receiving an input to initiate a pre-surveillance operation. The input indicates a type of pre-surveillance operation to be performed in the outdoor area. The drone may be configured according to the input and may then perform the pre-surveillance operation to obtain data indicative of environmental features in the outdoor area. A flight trajectory path for the drone is generated based on the data indicative of the environmental features in the outdoor area. The flight trajectory path includes a path for the drone to move within the outdoor area. The drone then performs a detailed surveillance of the outdoor area according to the flight trajectory path. A graphical representation of the outdoor area is generated based on data obtained from performing the surveillance of the outdoor area.

A security monitoring system may implement a building space mapping process using a drone. The process involves generating a floor plan of the building space by performing pre-mapping and detailed mapping protocols, and allowing the user to specify particular areas of interest that may restrict or enhance the drone's ability to move through the building space. The drone may generate and travel along a trajectory path based on the floor plan and information collected during the mapping protocols.