An automatic lawn mower including: a frame body; a movement module; a cutting module; a controller; a plurality of sensors, configured to detect an obstacle in an environment, where the plurality of sensors include: a plurality of first sensors, where the first sensors are arranged around the frame body in a manner in which a detection direction thereof is inclined upward by a first preset angle relative to a horizontal reference plane; and a second sensor, arranged in a manner in which a detection direction thereof is toward a front end of the frame body and is inclined downward by a second preset angle relative to the horizontal reference plane, where poses of first sensors and second sensor are combined, so that a sum of detection ranges of the plurality of sensors covers all angles in a direction parallel to the horizontal reference plane, thereby avoiding the obstacles.

A controller for an agricultural harvester in a fleet of agricultural harvesters is configured to receive crop flow sensor output data from a plurality of on-board harvester sensors, and determine a current value of each of one or more harvesting performance parameters depending on the received crop flow sensor output data. The controller is configured to receive fleet data indicative of one or more operational parameters of at least one further agricultural harvester in the fleet. The controller is configured to determine a ground speed for the agricultural harvester depending on the current value of the one or more harvesting performance parameters relative to respective target values and the received fleet data. The controller is configured to generate an output signal in dependence on the determined ground speed.

An information processing system is provided which can increase the possibility that a path along which work quality is high is set in a work area. In an acquisition step of the information processing system, boundary information is acquired, the boundary information indicating the boundary of the work area targeted by a work machine that can travel autonomously. In a setting step, a path of the work machine is set in order to minimize unreached areas from the work area on the basis of the acquired boundary information, and when the work quality in the case of using a path set by a first method does not meet a prescribed criterion, a path is set by a second method.

A returning method of a self-moving device, a self-moving device are provided. In the returning method, a self-moving device autonomously moves inside a working region based on a map. Specifically, the method includes: acquiring a current position of the self-moving device in the working region; selecting a return path to a target position according to the current position; determining a reuse status of the return path, determining, based on the reuse status of the return path, whether to reselect a return path; and enabling the self-moving device to return to the target position along the selected return path.

The automatic traveling system includes a generation processing unit, an acquisition processing unit, and a correction processing unit. The generation processing unit generates a target route along which the work vehicle is caused to travel automatically. The acquisition processing unit acquires a correction position of the target route. The correction processing unit corrects the target route based on the correction position.

An automatic implement attachment and detachment system having a ground utility robot a sensor, a computer processor, an artificial intelligence processing unit for learning, and a computer memory where the system also includes a quick hitch attachment apparatus having a body securable to the ground utility robot, at least one mateable connection part, and an implement having a connection member where the implement attachment system is configured to automatically attach and detach the implement to and from the ground utility robot.

A green area maintenance system, includes: an autonomous mobile green area maintenance robot having a treatment tool, a cutting tool differing from the treatment tool, wherein the green area maintenance robot and the cutting tool are configured to allow fixing of the cutting tool to the green area maintenance robot, a user control device, an autonomous operation mode and a cutting operation mode, wherein in the autonomous operation mode the autonomous mobile green area maintenance robot with its treatment tool operates autonomously and the cutting tool is set out of operation, and wherein in the cutting operation mode the cutting tool is fixed to the green area maintenance robot and operable. The green area maintenance robot with its treatment tool and the cutting tool are controlled by a user via the user control device, and an operation mode switching device for switching between the autonomous operation mode and the cutting operation mode.

An autonomous mower conversion kit and method for autonomously controlling a zero-turn mower. The conversion kit include a vehicle control unit containing a navigation processor in data communication with one or more global positioning (GPS) devices configured for inputting GPS coordinates to the navigation processor. The navigation processor is configured to send a signal to a pair of high torque servo motors attached to a housing of a mower. Each of the pair of high torque servo motors has a tie rod removably attached on a first end to one of the pair of high torque servo motors and on a distal end to a mower steering arm. A safety override switch is connected to the vehicle control unit and is configured for converting the mower to autonomous control.

An agricultural work assistance system includes an input to input agricultural field information about a contour of an agricultural field, dimension information of an agricultural machine or a working device coupled to the agricultural machine, and a work condition about agricultural work on the agricultural field by the agricultural machine and the working device, a route creator to create a traveling route along which the agricultural machine travels within a map of the agricultural field based on the agricultural field information, the dimension information, and the work condition and to secure a turning space where the agricultural machine turns, a turning margin calculator to calculate a turning margin, i.e., a size of the turning space, and determine that the turning margin is insufficient when the turning margin is less than a threshold, and a notifier to provide notification of a place where the insufficient turning margin determined by the turning margin calculator exists.

A map generation system generates map data for an agricultural machine to automatically travel on a road around a field, and includes a storage to store feature block images associated with different types of road features, and a processor configured or programmed to acquire position distribution data on one or more types of road features, the position distribution data being generated based on at least one of sensor data from a LiDAR sensor and image data from an imager output while a movable body including at least one of the LiDAR sensor and the imager is moving along the road; read from the storage one or more types of feature block images associated with the one or more types of features; and align the feature block images in accordance with the position distribution data to generate map data on a region including the road.