A system including an autonomous ground vehicle (AGV) designed as a common platform to which is affixed one or more articulated arms, which, when combined with attached implements and software for performing movement of the AGV and the arm(s), carries out tasks common to small farms and maintaining small parcels of land. The software enables a farm operator to set up, control, and monitor operations of the robotic system.

A path planning system for an agricultural machine performing self-driving includes a storage to store a map including fields and a road around the fields, and a processor to generate a path for the agricultural machine on the map. The processor is configured or programmed to generate a first path along which the agricultural machine is to travel while performing agricultural work in any of the fields, the first path being generated on the corresponding field on the map, and generate a second path along which the agricultural machine is to travel toward the field, the second path being generated on the road on the map.

A server device includes an area setting unit that sets a first area in which a first lawnmower executes first lawn-mowing work in a work area and a second area in which a second lawnmower executes second lawn-mowing work in the work area, a time calculation unit that obtains a first time necessary for the first lawnmower to execute the first lawn-mowing work in the first area and a second time necessary for the second lawnmower to execute the second lawn-mowing work in the second area, a machine number calculation unit that obtains the number of first lawnmowers and the number of second lawnmowers based on the first time and the second time, and a notification unit that notifies the number of first lawnmowers and the number of second lawnmowers to a smartphone. Consequently, a user can check the number of first lawnmowers and the number of second lawnmowers.

A method for selecting a direction, a mower, and an electronic equipment are provided. With the method, a boundary of a target region is identified via a mower. If a distance between the mower and the boundary is determined to be within a first preset range according to the boundary as identified, the mower is controlled to move along the boundary in a movement direction. The movement direction is either a leftward direction along the boundary or a rightward direction along the boundary, which direction has a less angle with respect to an orientation of a head of the mower.

Provided are systems and methods for docking a robot relative to a lawn mower. The system may include a drive system configured to move the robot, a sensor, a docking arm, and/or at least one processor operatively connected to the drive system, the sensor, and/or the docking arm. The at least one processor may be configured to receive a signal from the sensor comprising a first location of the robot. The processor may be configured to control the drive system to drive from the first location to a second location based on receiving the signal. The at least one processor may be configured to control the docking arm to dock the robot at the second location, where the robot is configured to perform a task. The at least one processor may be configured to control the docking arm to un-dock the robot upon completion of the task.

Techniques for multi-modal contextualization of object detection for use with an agricultural vehicle are described herein. The techniques can provide additional context information to radar detection to assess the likelihood of an object detected by radar of being an object of interest. Examples of detection that might be detected by a radar sensor that, based on the additional context information, the agricultural vehicle can make a determination to ignore can include ground targets, ghost targets, side or overhead reflections from obstacles, detections from tall crops/weeds in a field.

An agricultural machine includes a controller configured or programmed to control an action of the agricultural machine, and at least one sensor to sense an environment around the agricultural machine. When the at least one sensor acquires motion information of a person performing a gesture, the controller is configured or programmed to cause the agricultural machine to perform an action determined based on a type of the gesture and an operational authority granted to the person.

An agricultural work assistance system includes an input to input dimension information of a working device coupled to an agricultural machine and a work condition for performing agricultural work on an agricultural field by the agricultural machine and the working device, a route creator to create a traveling route of the agricultural machine on a map indicative of the agricultural field on the basis of the dimension information of the working device and the work condition, an output to output the traveling route, and a dimension determiner to receive the dimension information of the working device input by the input, determine whether the dimension information satisfies a predetermined restriction condition according to a kind of agricultural work performed by the working device, and refuse to receive the dimension information in a case where it is determined that the dimension information does not satisfy the restriction condition.

A sensing system for a mobile agricultural machine includes a LiDAR sensor to sense an environment around the agricultural machine to output sensing data, and a processor configured or programmed to detect an object in a search region around the agricultural machine based on the sensing data, and to cause a size of the search region for detection of the object to be different between a case where the agricultural machine is located in a field and a case where the agricultural machine is located in an out-of-field area that is outside the field.

A path planning system for an agricultural machine to automatically travel inside and outside a field includes a storage to store a map of a region including fields and roads, and a processor to generate a path for the agricultural machine on the map. The map includes attribute information representing, for each of the roads, at least one of whether the road is an agricultural road, whether the road is a road along a specific feature, or whether the road is a road where satellite signals from GNSS satellites are receivable. The processor is configured or programmed to generate at least one of a path including an agricultural road with priority, a path including a road along the specific feature with priority, or a path including, with priority, a road where the satellite signals are receivable, as the path for the agricultural machine based on the attribute information.