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 second lawn-mowing work in the work area, a zone dividing unit that divides the work area into plural virtual zones, a time range setting unit that sets a first time range in which the first lawnmower executes the first lawn-mowing work in each of the virtual zones included in the plural virtual zones and a second time range in which the second lawnmower executes the second lawn-mowing work in each of the virtual zones included in the plural virtual zones, and a notification unit that notifies the first time range and the second time range to a smartphone. Consequently, a user can check a possibilty of contact between the first and second lawnmowers.

Disclosed are an area cleaning planning method for robot walking along the boundary, a chip and a robot. The area cleaning planning method includes: on a laser map which is scanned and constructed by a robot in real time, the robot is controlled to walk along the boundary in a predefined cleaning area framed at the current planning starting point position, so that the robot does not cross out the predefined cleaning area in the process of walking along the boundary; meanwhile, according to the division condition of the room cleaning subareas that conform to the preset wall environment condition in the predefined cleaning area, the robot is controlled to walk along the boundary in a matched area, when the robot walks along the boundary in the matched area and returns to the planning starting point position, the robot is controlled to perform planned cleaning in the matched area.

A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

A method of operating a mobile robot includes generating a segmentation map defining respective regions of a surface based on occupancy data that is collected by a mobile robot responsive to navigation of the surface, identifying sub-regions of at least one of the respective regions as non-clutter and clutter areas, and computing a coverage pattern based on identification of the sub-regions. The coverage pattern indicates a sequence for navigation of the non-clutter and clutter areas, and is provided to the mobile robot. Responsive to the coverage pattern, the mobile robot sequentially navigates the non-clutter and clutter areas of the at least one of the respective regions of the surface in the sequence indicated by the coverage pattern. Related methods, computing devices, and computer program products are also discussed.

The present application discloses a robot task execution method, apparatus, robot and storage medium. The method comprises: acquiring a training trajectory and an environment map in a training mode; generating a target region for tasks to be performed by a robot based on the environment map and the training trajectory, wherein the target region is a maximum envelope region in which the robot can complete tasks autonomously; controlling the robot to traverse the target region until the robot completes the tasks to be performed. By adopting the above technical solution, the robot can perform tasks stably and efficiently in various environmental regions, thereby being able to be applied to various application scenarios.

A robotic work tool system comprising a robotic work tool (100) arranged to operate in an operational area (205), the robotic work tool system comprising controller (110, 240A) being configured to receive (410) a map of the operational area, receive (420) a first temporary boundary (220-1-4), receive (430) a second temporary boundary (220-1-4), and generate (440) a composite boundary (220C) encompassing the first and the second temporary boundaries (220-1-4), wherein the composite boundary (220C) is the boundary (220) for the robotic work tool (100) when operating in the operational area (205).

An agricultural assistance system includes a controller configured or programmed to control an operation of one or more agricultural machines. In response to receiving from a terminal apparatus a signal requesting assistance in agricultural work for a field, the controller is configured or programmed to cause the one or more agricultural machines to move to the field to assist in the agricultural work for the field.

Provided are a smart snow removal method and equipment, and a snow removal robot. Based on GPS-RTK localization technology, latitude and longitude coordinates of a target snow throwing area and a target snow removal area are acquired, and a snow removal map is generated. Grid processing is performed on the snow removal map. Potential-field processing is performed on the snow removal map by: taking a grid located in the target snow throwing area as a starting point, and assigning, based on a breadth-first search algorithm, to grids located in the target snow removal area potential energy values in a manner of spreading outward. The snow removal robot is controlled to travel grid by grid from an uncleared grid whose potential energy value is currently the largest, and the snow removal operation is performed on an arrived grid, until the snow removal robot travels to the target snow throwing area.

A method, system and non-transitory computer readable medium includes obtaining an electronic map of an agricultural field. One or more assignment instructions for each of a plurality of robotic systems in an assigned team are generated to optimize execution of a selected agricultural task with respect to at least one parameter based on the obtained electronic map, a number of the robotic systems in the team, and at least one capability of each of the robotic systems in the team. The robotic systems in the team are managed based on wireless transmission of the generated assignment instructions to the robotic systems.

An automatic working system, a turning method thereof, and a self-moving device. When the self-moving device reaches a boundary, a control module controls a movement module to turn to leave the boundary. In addition, the control module may control, based on coverage values corresponding to each movement range when the self-moving device reaches the boundary, the movement module to turn to a movement range with a coverage value that meets a preset requirement.