A device for controlling a piece of agricultural machinery that is movable within an agricultural plot includes: a piece of machinery and a unit having a memory including input data for mapping a risk area located within an agricultural plot. The memory includes data representative of a set of types of risk area and data representative of a set of specific behaviors. The unit is configured to: associate the input data for mapping a risk area with a category, associate the category with a specific behavior of the piece of mobile agricultural machinery, and control the specific behavior if the position of the piece of machinery is located in or near the risk area. The piece of machinery is arranged to move autonomously within the agricultural plot according to the specific behavior controlled by the unit.

An electronic apparatus includes a first sensor, a second sensor, at least one memory storing at least one instruction, and at least one processor operably connected with the first sensor, the second sensor, and the at least one memory, wherein the at least one processor, executing the at least one instruction, configured to acquire sensing data through the first sensor, identify a plurality of driving locations based on the sensing data, acquire a plurality of photographed images through the second sensor, store the plurality of driving locations and the plurality of photographed images in the at least one memory, and based on identifying an event preventing driving, identify a first time point corresponding to the event preventing driving, identify a second time point preceding the first time point by a threshold time, identify a driving location, among the plurality of driving locations, corresponding to the second time point, identify a photographed image, among the plurality of photographed images, corresponding to the second time point, and register the event preventing driving based on event information, and wherein the event information may include the driving location corresponding to the second time point and the photographed image corresponding to the second time point.

An autonomous work machine that works in a work area, the autonomous work machine comprising: a storage unit that stores past captured images including one or more markers arranged to define the work area; a specifying unit that specifies a past captured image stored in the storage unit and similar to a current captured image captured by an image capturing unit; and a control unit that controls the autonomous work machine based on the past captured image specified by the specifying unit.

According to the present invention, a moving body capable of moving within a preset range of movement acquires an image from the environment surrounding the location of the moving body, and determines entry determination conditions for obtaining a result of an entry determination as to whether or not the moving body is allowed to enter a region identified by the location of the moving body and the image. A management terminal outputs the entry determination conditions and the image to an output device, and receives modification information relating to the entry determination conditions from an input device. A server uses the modification information received by the input device of the management terminal to perform learning, including updating of the entry determination conditions, thereby setting the movement range of the moving body, the movement of which is controlled in accordance with the entry determination result.

A cleaning robot that performs cleaning while travelling a space to be cleaned, the cleaning robot including: a travelling unit that moves the cleaning robot; a cleaning unit that cleans the space to be cleaned; an image capturing unit that captures an image viewed from the cleaning robot; a voice input unit to which a user's voice instructions are input; and a controller obtaining the user's motion instructions through the image capturing unit and determining a restricted area in which entry of the cleaning robot is prohibited and/or a focused cleaning area to be intensely cleaned by the cleaning robot based on the user's motion instructions or the user's voice instructions when the user's voice instructions are input through the voice input unit. The restricted area and the focused cleaning area may be input to the cleaning robot through the user's voice and motion.

A cleaning robot that performs cleaning while travelling a space to be cleaned, the cleaning robot including: a travelling unit that moves the cleaning robot; a cleaning unit that cleans the space to be cleaned; an image capturing unit that captures an image viewed from the cleaning robot; a voice input unit to which a user's voice instructions are input; and a controller obtaining the user's motion instructions through the image capturing unit and determining a restricted area in which entry of the cleaning robot is prohibited and/or a focused cleaning area to be intensely cleaned by the cleaning robot based on the user's motion instructions or the user's voice instructions when the user's voice instructions are input through the voice input unit. The restricted area and the focused cleaning area may be input to the cleaning robot through the user's voice and motion.

An operation management system is capable of safely and space-efficiently optimizing an operation path in accordance with various events. The operation management system manages a flight of an airframe such as a vertical take-off and landing plane. The system includes a 4D path planning unit that plans a 4D path, of the airframe, represented as a series of planned passing positions and time of the airframe. The system has an occupied space design unit for designing, as occupied spaces of the airframe prohibiting entry of other airframes, a movable occupied space that includes the airframe and that moves together with a mobile body and a fixed occupied space that includes the movable occupied space and that is along the 4D path. The 4D path planning unit re-plans the 4D path on the basis of a positional relationship between the movable and fixed occupied spaces during the flight of the airframe.

Systems, devices, and methods for determining, by a processor, an unmanned aerial system position relative to at least one flight boundary; and effecting, by the processor, at least one flight limitation of a flight limiting device if the determined unmanned aerial system position crosses the at least one flight boundary.

A method includes obtaining data associated with a specified airspace indicating or identifying manned flights within the specified airspace and identifying one or more exclusion zones associated with one or more manned flights within the specified airspace based on the data. Each exclusion zone identifies a volume from which one or more flight vehicles are excluded from operating within the specified airspace. The method also includes modifying each exclusion zone in order to randomly change a shape of exclusion zone and generate one or more modified exclusion zones. In addition, the method includes providing information defining the modified exclusion zone(s) to one or more flight vehicle operators so that the one or more flight vehicle operators are able to avoid operating the flight vehicle(s) in the modified exclusion zone(s). The information defining modified exclusion zone(s) lacks information identifying the manned flights within the exclusion zone(s).

The invention relates to a method for control by a supervisor of at least one autonomous agricultural robot comprising geolocation means, the supervisor transmitting periodic row allocation messages to the at least one autonomous agricultural robot, each of the agricultural robots comprising a computer for controlling the movement of the corresponding robot as a function, on the one hand, of the allocated trajectory and, on the other hand, of the geolocation data, as well as for calculating a row change trajectory as a function of the messages transmitted by the supervisor.