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.

The application provides a structured light module and an autonomous mobile device. The structured light module includes a first camera and line laser emitters for collecting a first environmental image containing laser stripes generated when the line laser encounters an object. The structured light module can also capture a visible light image through a second environmental image that does not contain laser stripes. Both the first and second environmental images can help to detect more accurate and richer environmental information, expanding the application range of laser sensors.

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.

A cleaning robot escape method, a cleaning robot escape apparatus, a computer readable storage medium, and an electronic device. The method comprises: when a cleaning robot cleans in a first surface medium region, recording a cleaned path and generating a region map; when the cleaning robot encounters an obstacle and turns the direction, in response to a surface medium change signal triggered by a surface medium sensor, upon detecting a second surface medium region, detecting whether the cleaned path of the cleaning robot is a path along a wall; and if the cleaned path of the cleaning robot is the path along the wall, controlling the cleaning robot to enter a special escape mode.

A robot includes: a travel unit configured to move the robot; a light detection and ranging (LiDAR) sensor; and at least one processor configured to: obtain first distance data between the robot and objects around the robot by using the LiDAR sensor, obtain line data corresponding to an object having a line shape based on the first distance data, control the travel based on the line data to move the robot, track the line data based on second distance data obtained by the LiDAR sensor while the robot moves, and identify a curvature value of the tracked line data, and identify whether the LiDAR sensor is defective based on a change in the curvature value.

The present invention relates to a control method of a cloud server capable of communicating with an autonomous mobile robot (AMR), wherein the control method comprises the steps of: receiving, from a mobile phone or a delivery service-related server, address information, delivery product information, and at least one of a drop location-related image or a capture image; generating a first landmark on the basis of the received address information; and generating a second landmark on the basis of the received delivery product information.

Disclosed is a cleaning robot including: a driving unit configured to move the cleaning robot; an obstacle sensor configured to sense an obstacle; and a controller configured to reduce, if a distance between the cleaning robot and the obstacle is shorter than or equal to a reference distance, a driving speed of the cleaning robot so that the driving speed of the cleaning robot is lower than a shock absorbing speed when the cleaning robot contacts the obstacle.

A map display method comprises: obtaining room map data and regional map data; drawing a room map according to the room map data, and drawing a regional map layer on the room map according to the regional map data; and displaying the room map that is covered by the regional map layer.

An intelligent mobile device and a control method therefore are described. The method includes: acquiring, when the intelligent mobile apparatus is trap, first ground medium attribute information of a trapping region, where the first ground medium attribute information includes ground medium attribute information of the trapping region; and controlling, if the first ground medium attribute information matches target ground medium attribute information, the intelligent mobile apparatus to leave the trapping region and re-enter the trapping region in a direction different from a direction in which the intelligent mobile apparatus enters the trapping region.