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 instructing operation of a robotic floor-cleaning device based on the position of the robotic floor-cleaning device within a two-dimensional map of the workspace. A two-dimensional map of a workspace is generated using inputs from sensors positioned on a robotic floor-cleaning device to represent the multi-dimensional workspace of the robotic floor-cleaning device. The two-dimensional map is provided to a user on a user interface. A user may adjust the boundaries of the two-dimensional map through the user interface and select settings for map areas to control device operation in various areas of the workspace.

Disclosed are a method for dividing a robot area based on boundaries, a chip and a robot. The method includes: setting, when the robot travels along the boundaries in a preset boundary direction in an indoor working area, a reference division boundary line according to data scanned by a laser sensor of the robot in real time; and identifying, after the robot finishes traveling along the boundaries in the preset boundary direction, a door at a position of the reference division boundary line according to image characteristic information of the position of the reference division boundary line acquired by a camera of the robot, and marking the reference division boundary line on a laser map, so as to divide the indoor working area into different room subareas by means of the door.

Disclosed are a navigation method and a self-walking device. The navigation method is applied to the self-walking device and includes: determining a candidate region after a current task is completed; determining whether a reachable position adjacent to the candidate region exists; and controlling, in response to an existence of the reachable position adjacent to the candidate region, the self-walking device to reach the reachable position, and controlling the self-walking device to attempt to enter the candidate region to operate in the candidate region.

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 for global localization of a mobile robot is disclosed. The method compares a histogram value, obtained by quantifying geometric and structural features of each query submap image divided from a global map image, with geometric and structural features of submap images stored in a database to select a submap image which is the most similar to a query submap image, and performs the global localization of the mobile robot, based on coordinate information included in the selected submap image.

A method for controlling at least one autonomous mobile robot, wherein the at least one robot is designed to navigate within a functional area on the basis of a map of said functional area, and to perform at least one task autonomously in the functional area. The method involves: receiving a job request which contains instructions for carrying out at least one task in the functional area, automatically dividing the job request into at least two sub-tasks, and automatically determining a sequence in which said sub-tasks are to be processed by the at least one robot, the job request being fully completed once all sub-tasks have been processed.

The present disclosure provides a method and apparatus for cleaning a swimming pool, and an electronic device and a storage medium thereof. The method includes: controlling a swimming pool cleaning robot to move, with respect to a grid map covering the swimming pool, in a work area defined in the swimming pool to establish a cleaning map including a plurality of cleaning blocks; and controlling the swimming pool cleaning robot to traverse each of the cleaning blocks in the cleaning map to clean the swimming pool. According to the present disclosure, the cleaning regions may be accurately constructed in the map according to the work area in the swimming pool, such that the swimming pool cleaning robot cleans the swimming pool in a quick, efficient, and energy-saving fashion.

A method includes receiving sensor data collected by an autonomous mobile robot as the autonomous mobile robot moves about an environment, the sensor data being indicative of sensor events and locations associated with the sensor events. The method includes identifying a subset of the sensor events based on the locations. The method includes providing, to a user computing device, data indicative of a recommended behavior control zone in the environment, the recommended behavior control zone containing a subset of the locations associated with the subset of the sensor events. The method includes defining, in response to a user selection from the user computing device, a behavior control zone such that the autonomous mobile robot initiates a behavior in response to encountering the behavior control zone, the behavior control zone being based on the recommended behavior control zone.

An embodiment of the present invention provides an artificial intelligence cleaner comprising: a memory for storing a simultaneous localization and mapping (SLAM) map of a cleaning space; a travel driving part for driving the artificial intelligence cleaner; and a processor for collecting a plurality of cleaning records for the cleaning space, dividing the cleaning space into a plurality of cleaning areas by using the SLAM map and the plurality of collected cleaning records, determining a cleaning path of the artificial intelligence cleaner in consideration of the divided cleaning areas, and controlling the travel driving part according to the determined cleaning path, wherein when an abnormal situation occurs during cleaning on the basis of the determined cleaning path, the processor modifies the cleaning path by applying path simplification to a preconfigured area of the remaining cleaning area.