A system for determining a crop edge and a self-propelled harvester using the system for automatic control are disclosed. The system comprises a camera that generates optical information of a front environment of the harvester. The system further includes a computing unit that analyzes the images using artificial intelligence so that a planted area of a field on which a plant crop is located may be delimited from a remaining residual area of the field, thereby determining the plant crop. In turn, the computing unit is further configured to determine the crop edge of the plant crop based on the determination of the plant crop and to automatically control the harvester based on the determination of the crop edge.

A method of creating a virtual boundary for a robotic garden tool includes receiving location coordinates of a location in which the robotic garden tool is intended to be operated. The method also includes retrieving, from a first server and based on the location coordinates, a preexisting visual media file of the location in which the robotic garden tool is intended to be operated. The preexisting visual media file includes metadata that includes coordinate information of the location shown in the preexisting visual media file. The method includes generating virtual boundary coordinates of the virtual boundary based at least partially on the preexisting visual media file and the coordinate information. The method includes controlling, with a first electronic processor of the robotic garden tool, the robotic garden tool to be confined by the virtual boundary to remain in an operating area during operation of the robotic garden tool.

Some embodiments include apparatuses providing control over movement of motorized transport units at a retail facility, comprising: multiple self-propelled motorized transport units; a wireless communication network; and a central computer system, wherein the central computer system comprises: a transceiver; a control circuit; and a memory storing computer instructions that when executed cause the control circuit to: receive an override command, from a worker associated with the retail facility, to cause a first motorized transport unit of the multiple motorized transport units to implement one or more actions; confirm a valid authorization of the worker to override one or more operating limits of the first motorized transport unit; and override the one or more operating limits and communicate one or more instructions to the first motorized transport unit configured to cause the first motorized transport unit to implement the one or more actions in accordance with the override command.

Provided is a mobile object control device including a storage medium storing a computer-readable command and a processor connected to the storage medium, the processor executing the computer-readable command to: acquire a photographed image, which is obtained by photographing surroundings of a mobile object by a camera mounted on the mobile object, and an input instruction sentence, which is input by a user of the mobile object; detect a stop position of the mobile object corresponding to the input instruction sentence in the photographed image by inputting at least the photographed image and the input instruction sentence into a trained model including a pre-trained visual-language model, the trained model being trained so as to receive input of at least an image and an instruction sentence to output a stop position of the mobile object corresponding to the instruction sentence in the image; and cause the mobile object to travel to the stop position.

A method for controlling a robot is provided. The method includes the steps of: acquiring information on status of communication connections between a plurality of robots located in a serving place, wherein the status of communication connections between the plurality of robots is specified with respect to at least one relay robot among the plurality of robots; and determining a communication scheme to be used between the plurality of robots, with reference to the information on the status of communication connections between the plurality of robots.

The present disclosure discloses a mobile robot positioning method and system based on wireless ranging sensors, and a chip. The mobile robot positioning method adopts a manner of controlling a mobile robot to traverse two target positions successively to acquire a distance between the mobile robot at each traversed position and a fixed positioning base station, rather than calculate distances between the robot at the same position and different base stations, such that the trouble of arranging a plurality of base stations in a positioning area is reduced.

A method of controlling an autonomous vehicle, which is movable on a surface, includes obtaining a model (world model) of the surface, by which each area of the surface is associated with a probabilistic occupancy score; determining, on the basis of the area's position, an occupancy threshold to be applied to an area of the surface; enabling movement of the AV into the area if the associated occupancy score is less than the determined occupancy threshold; and otherwise disabling movement into the area. In one embodiment, where the model is obtained or updated based on measurement data from one or more sensors carried by the autonomous vehicle, the occupancy threshold is determined to be relatively lower if the area is outside a field of view of the sensors carried by the AV and relatively higher if the area is inside the field of view.

A conveyance system according to the present disclosure includes a conveyance vehicle configured to travel along a guide line laid on a traveling road. The conveyance vehicle includes: a guide line detection unit configured to detect the guide line; an object position detection unit configured to detect information on a position of an object around the conveyance vehicle; and a stop position determination unit configured to determine a stop position of the conveyance vehicle based on a result of detection by the object position detection unit.

A setting processing unit sets a predetermined turning route among a plurality of turning routes having different turning methods, for each of a plurality of work paths included in a field where a work vehicle autonomously travels in accordance with a target route and sets the target route including the turning route set for each of the plurality of work paths and a work route set corresponding to the field.

An apparatus including an indicator and a video sensor arranged to generate sensor data dependent on a state of the indicator, control circuitry configured to select the state of the indicator, to process instructions received in the apparatus from a remote driving station, to provide to the remote driving station the sensor data and to at least one of: provide to the remote driving station an indication of the indicator's selected state to enable the remote driving station to detect a malfunction in the sensor data, and obtain an observation of the state of the indicator, based on the sensor data, and determine whether the observation and the selected state of the indicator are consistent, to detect a malfunction in the sensor data, wherein the apparatus is a remotely operated vehicle, or configured to be installed in one.