An obstacle detection system for an agricultural machine to perform self-driving while sensing a surrounding environment with a LiDAR sensor and a camera includes a controller configured or programmed to cause the camera, upon detecting an obstacle candidate based on data that is output from the LiDAR sensor, as a trigger, to acquire an image of the obstacle candidate, and determine whether or not to change a traveling status of the agricultural machine based on the image of the obstacle candidate acquired with the camera.

Provided are systems and methods for orientating a robot relative to a lawn mower. The system may include at least one processor configured to determine first object data associated with a first component of the lawn mower based on a first signal received from a sensor, where the first signal is detected at a first location. The processor may be configured to control a drive system to drive from the first location to a second location based on the first object data. The processor may be configured to determine second object data associated with a second component of the lawn mower based on a second signal received from the sensor, where the second signal is detected at the second location. The processor may be configured to control the robot to perform a task based on the second object data.

A remote agricultural vehicle interface system includes an agricultural vehicle capability input configured to receive one or more vehicle characteristics of an agricultural vehicle and a remote vehicle interface generator that generates a remote vehicle interface for the agricultural vehicle based on the vehicle characteristics. The remote vehicle interface includes one or more remote outputs and one or more remote inputs for the agricultural vehicle. A remote access evaluator includes one or more of an electronic device input, a vehicle to device connection input, or a vehicle to device range input configured to receive one or more range characteristics. An interface refinement tool is configured to refine the remote vehicle interface based on one or more of electronic device characteristics, connection characteristics, or range characteristics. A remote vehicle interface output is configured to communicate the remote vehicle interface refined with the interface refinement tool to a candidate electronic device.

A travel control system for an agricultural machine capable of performing remotely-manipulated traveling including a storage to store a position of a permitted area in which the remotely-manipulated traveling is permitted conditionally, and a controller operable in a remote manipulation mode in which travel of the agricultural machine is controlled by remote manipulation. In the remote manipulation mode, when a state of the agricultural machine does not satisfy a condition required for the remotely-manipulated traveling in the permitted area, the controller is configured or programmed to disable a remote manipulation to cause the agricultural machine to travel in the permitted area.

A travel control system for an agricultural machine capable of performing remotely-manipulated traveling includes a storage to store the position of a permitted area in which the remotely-manipulated traveling is permitted and a position of a forbidden area in which the remotely-manipulated traveling is forbidden, and a controller operable in a self-traveling mode in which the agricultural machine is caused to perform self-traveling in a self-traveling area and a remote manipulation mode in which travel of the agricultural machine is controlled by remote manipulation. The controller is configured or programmed to disable a remote manipulation to cause the agricultural machine to enter the forbidden area, to set at least a portion of the self-traveling area as the permitted area and an outside of the self-traveling area as the forbidden area, and to cause the storage to store the position of the permitted area and the position of the forbidden area.

A combine harvester includes a detection unit capable of detecting a surrounding detection target, and automatically travels along a target route. A setting processing unit sets the detection function for the detection target to be enabled or disabled based on the target route. The detection processing unit causes the combine harvester to execute predetermined processing on the detection target in accordance with the setting state of the detection function.

A system (1) for measuring and interpreting a force, comprises at least one working implement, for acting on an agricultural field and at least one force sensor, for measuring a force of the working implement. Further, a data interpretation unit calculates an interpretation of the measured force; wherein the data interpretation unit comprises a machine learning unit that calculates the interpretation of the measured force. Also, a system for controlling agricultural operations comprises at least one agricultural working means for working on an agricultural field and at least one first imaging device located at the agricultural working means for acquiring images of an environment of the agricultural working means.

Devices, systems, and method for generating agricultural guidance comprising defining a first non-straight path, mapping a second path adjacent to the first path, the second path having less than a threshold amount of crowding of the first non-straight path and less than a threshold amount of gap between the first non-straight path and second path, iteratively mapping subsequent paths path having less than a threshold amount of crowding of an adjacent pass and less than a threshold amount of gap between adjacent paths until a straight path is mapped, and commanding a steering system for traversal of the first non-straight path, second path, and subsequent paths.

A working robot system including a working robot configured to output its self-position information on a field, an imaging apparatus configured to capture an image of the field, and a controller configured to acquire the image of the field captured by the imaging apparatus and the self-position information output by the working robot is provided. Based on the position of the working robot on the captured image and the self-position information output by the working robot, the controller assigns position information to the remaining parts of the captured image.

A mowing system includes a charging station, a base station, and a mowing robot. The base station and the charging station are set independently from each other. The base station has a first communication unit and a first GPS antenna. The mowing robot has a second GPS antenna and a control unit electrically connected with the second GPS antenna and wirelessly connected with the first GPS antenna, such that the control unit receives a first GPS signal obtained by the first GPS antenna and a second GPS signal obtained by the second GPS antenna and determines a positioning coordinate of the mower robot according to the first GPS signal and the second GPS signal. As such, the installation position of the base station is not restricted by the surrounding environment or the charging station so as to enhance positioning precision.