A system for autonomous or semi-autonomous operation of a vehicle is disclosed. The system includes a machine automation portal (MAP) application configured to enable a computing device to (a) display a map of a work site and (b) provide a graphical user interface that enables a user to (i) define a boundary of an autonomous operating zone on the map and (ii) define a boundary of one or more exclusion zones. The system also includes a robotics processing unit configured to (a) receive the boundary of the autonomous operating zone and the boundary of each exclusion zone from the computing device, (b) generate a planned command path that the vehicle will travel to perform a task within the autonomous operating zone while avoiding each exclusion zone, and (c) control operation of the vehicle so that the vehicle travels the planned command path to perform the task.

A mobile apparatus includes circuitry to control the mobile apparatus to perform teaching travel and autonomous travel, generate; for each of nodes on a travel route independently for external sensors, calculation information for calculating a deviation between a node passed in the teaching travel and a point passed in the autonomous travel; store in the memory the calculation information in association with the node and the external sensor; calculate, for each node independently for the external sensors, the deviation based on the calculation information and a of the extern sensor value in the autonomous travel; determine, for each node independently for the external sensors, the calculated deviation as a position and posture of the node with reference to the position and posture of the mobile apparatus; integrate the positions and postures of the node determined independently for the external sensors; and control the mobile apparatus to autonomously travel.

A route generation system for automated travel of an agricultural machine includes a processor configured or programmed to generate an automated travel route of the agricultural machine. The processor is configured or programmed to acquire, from a vehicle that manually travels along a route that the agricultural machine is scheduled to travel automatically while recording a travel path, data representing the travel path; remove, from the travel path, a path associated with an avoidance action performed to avoid an oncoming vehicle; and generate an automated travel route of the agricultural machine based on the travel path from which the path associated with the avoidance action has been removed.

An autonomous travel support device is provided that is structurally and electrically attachable to and detachable from a working vehicle. The working vehicle is configured to travel in response to a first operation input by a user. The autonomous travel support device comprises a processor configured to execute a reception step of receiving a switching input being an input for switching a travel mode of the working vehicle to a first mode or a second mode; and a vehicle control step of causing the working vehicle to travel in response to the first operation input in a case where the travel mode is set to the first mode, and of causing the working vehicle to travel autonomously using a preset autonomous travel model in a case where the travel mode is set to the second mode.

An electronic apparatus is provided. The electronic apparatus includes a display, a sensor, a moving device moving the electronic apparatus, memory storing at least one instruction, and at least one processor that is connected with the display, the sensor, the moving device, and the memory, wherein the at least one instruction, when executed by the at least one processor, causes the electronic apparatus to identify a set state of a Do Not Disturb mode for each of a plurality of users using the electronic apparatus, and based on a predetermined event occurring, perform an operation corresponding to the event to a user who did not set the Do Not Disturb mode.

Nodes on a travel route are classified into a special node and a normal node, depending on whether or not stopping occurs on the travel route, and are set. The special node includes a stopping position where a working machine comes to a stop on the travel route and a control parameter is changed, and further includes an imaginary arrival determination line in order to determine that the working machine has arrived at the second determination region, the imaginary arrival determination line passing through the stopping position.

An autonomous path treatment system and associated path treatment method uses a mobile path recording device having a locator, a processor and firmware to capture a sequence of coordinates and directions of travel of a path as the mobile device is moved along the path and generate a path program file. The system also has an autonomous path treatment robot having: a treatment mechanism for treating the path; a controller having a processor and memory storing firmware that when executed obeys steps of the path program file to control the motor and the treatment mechanism to treat the path; and a server configured to execute a path program to process the captured sequence of coordinates and directions into the path program file containing instructions for controlling the autonomous path treatment robot to treat the path based upon the coordinates.

A robotic cleaning system may include a robotic cleaner configured to generate a map of an environment and a mobile device configured to communicatively couple to the robotic cleaner, the robotic cleaner configured to communicate the map to the mobile device. The mobile device may include a camera configured to generate an image of the environment, the image comprising a plurality of pixels, a display configured to display the image and to receive a user input while displaying the image, the user input being associated with one or more of the plurality of pixels, a depth sensor configured to generate depth data that is associated with each pixel of the image, an orientation sensor configured to generate orientation data that is associated with each pixel of the image, and a mobile controller configured to localize the mobile device within the map using the depth data and the orientation data.

A system and a method are disclosed for planning a path within a field for a farming machine. The system predicts boundaries of the field using a previously captured image of the field and generates a suggested route to be taken by a data collection device based on the predicted boundaries. As the data collection device travels along the suggested route, the data collection device collects location data associated with a current layout of the field. The location data may be labeled with obstructions encountered along the way. Based on the location data, the system identifies current boundaries of the field, which may be different from the predicted boundaries. The current boundaries are sent to a verification device to be verified. After the current boundaries have been verified, the path for the farming machine is planned.

A specific plan for traversing a lattice of a geographic region is generated and provided to an autonomous vehicle. A general plan that includes the lattice and a planned sequence of operator traversal data of the lattice is received. Actual operator traversal data used to traverse the geographical region is determined. A tolerance range that defines an allowable deviation from the general plan is determined. A first subset of the actual operator traversal data that is within the tolerance range and a second subset of the actual operator traversal data that is not within the tolerance range is determined. A specific plan for traversing the geographical region is formulated based on the first subset of the actual operator traversal data that is within the tolerance range. The specific plan is provided to the autonomous vehicle for controlling traversal of the geographical region by the autonomous vehicle.