A monitoring plan generation device sets, for monitoring map information corresponding to a monitoring area indicating an entire area monitored by an uncrewed vehicle, an initial value of a time interval at which a corresponding small area needs to be monitored for each small area obtained by dividing the monitoring map information, counts a remaining time for the initial value of the time interval set in accordance with a passage of time, creates action plan information that establishes a movement route of the uncrewed vehicle to give priority to monitoring the small area where there is little remaining time, and sets an initial value to the remaining time of a small area corresponding to an area monitored by the uncrewed vehicle when the uncrewed vehicle has moved on the basis of the action plan information.

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 method for characterizing the environment of a mobile device, wherein, for each iteration at a time t, the following steps are implemented: S10) Acquiring a plurality of distance measurements (z.sub.t) in the environment by way of at least one sensor; S20) Generating a pair (w.sub.t) of occupancy grids at the time t?1 (OG.sub.t-1) and at the time (OG.sub.t), each grid (OG.sub.t-1, OG.sub.t) fusing the distance measurements into a discretized spatial representation of the environment; S30) Generating a static space grid at the time (SG.sub.t), Or S40) Generating a free space grid at the time (FG.sub.t).

Disclosed in the embodiments of the present disclosure are a navigation method of a robot, a chip and a robot. In the navigation method, when the position of the robot is not communicated with a preset known grid area constructed before relocalization, and grids allowing the robot to pass are marked within a detectable distance of a sensor of the robot, so as to plan a navigation path for enabling the robot to actually walk into the preset known grid area.

A method is disclosed for improving a mobile robot that is configured to perform a task in an environment using an operating procedure. Data is received that was recorded by the mobile robot using one or more sensors as the mobile robot navigates the environment to perform the task. A database and/or a model associated with the environment is updated to incorporate the recorded data. The operating procedure of the mobile robot can be modified, based on the database and/or the model, to generate a modified operating procedure for performing the task in the environment that improves a performance of the mobile robot. Additionally, a recommendation for improving the performance of the mobile robot when performing the task in the environment can be determined, based on the database and/or the model, and displayed to a user for consideration.

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.

An information processing apparatus according to the present disclosure includes, a communication unit configured to receive observation data from at least one sensor, the observation data being obtained by observing an obstacle in a plurality of areas, a determination unit configured to determine presence/absence of an obstacle in the plurality of areas by using the observation data, and a specifying unit configured to specify, when the presence/absence of an obstacle in a first area included in the plurality of areas is unknown, a probability of presence of an obstacle in the first area by using a determination result indicating presence/absence of an obstacle in an area near the first area, in which the probability changes depending on presence/absence of an obstacle in the area near the first 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.