A method for controlling a mobile, self-propelled appliance, in particular a floor cleaning appliance such as a robot vacuum cleaner and/or a sweeper and mopping robot so as to mop up an accumulation of liquid, includes driving on a floor surface intended for cleaning in a direction of travel in a forward movement of the appliance and cleaning the floor surface by using a dry cleaning module and/or a wet cleaning module of the appliance. The accumulation of liquid is detected in the direction of travel in front of the appliance in a moist area. The forward movement in front of the moist area is terminated and the appliance is rotated about substantially 180. Driving on the moist area in a reversing movement in the direction of travel of the appliance and mopping up the accumulation of liquid using the wet cleaning module is carried out.

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 local server includes a controller configured to select a processing function for processing offload, and receive, from a traffic filter, target data that originates from a local network; and a processing platform comprising one or more processors and configured to apply the processing function to the target data to obtain processed data; and wherein the controller is further configured to send the processed data to a remote server for remote processing.

Disclosed is a robot cleaner. The robot cleaner of the present disclosure comprise: a gas sensor which is disposed inside the robot cleaner and senses suctioned air; and a processor which identifies contaminants on the basis of a sensing value of the gas sensor, and controls the robot cleaner so that the robot cleaner travels while avoiding the identified contaminants.

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 robot cleaner includes a display unit, a camera unit configured to capture an image of a cleaning region when cleaning starts, a dust sensor configured to output a sensed signal corresponding to an amount of dust sucked in the cleaning region, and a control unit configured to calculate the amount of dust based on the sensed signal, to start an augmented reality (AR) mode when cleaning ends, to generate an AR image corresponding to the amount of dust, and to control the display module to superimpose the AR image on the image.

A robot cleaner includes a camera, a display unit configured to display a cleaning region projected by the camera, a communication unit configured to perform communication with a mobile terminal to receive an image including the cleaning region captured by the mobile terminal, and a control unit configured to search a cleaning region based on a traveling path of the robot cleaner, to predict an estimated traveling path of the robot cleaner based on the cleaning region and the image including the cleaning region, to generate an augmented reality (AR) image of the estimated traveling path, and to display the AR image to be superimposed on the image including the cleaning region.

A positioning method and apparatus, a device, a system, and a storage medium are provided, to reduce power consumption of a device. The system comprises: a task management platform, a shelf label management platform, a terminal device, electronic shelf labels and a positioning server. The task management platform determines (202) a target task and task information of the target task; generates (204) task processing information according to the task information, sends the task processing information to the shelf label management platform and the terminal device. The shelf label management platform controls (206), according to the task processing information, an electronic shelf label in a positioning area to transmit a beacon signal. The terminal device receives (208), in the positioning area, signal data of the beacon signal; sends (210) the signal data of the beacon signal to the positioning server. The positioning server performs (212) positioning according to the signal data to determine location information of the terminal device; sends (214) the location information to the task management platform. The task management platform determines (216) task execution information of the target task according to the location information.

A mobile cleaning robot configured to clean an environment. The mobile cleaning robot can include a body and a drivetrain operable to move the body within the environment. The robot can include a sensor connected to the body and configured to generate a sensor signal based on interactions between the mobile cleaning robot and the environment. The robot can include an image capture device connected to the body and configured to generate an image stream based on an optical filed of view of the image capture device. The robot can include a controller connected to the body and configured to determine whether the mobile cleaning robot is in a stasis condition based on the image stream and the sensor signal. The controller can also update a map of the environment based on the stasis determination.

A method and apparatus are disclosed for a clutter tidying robot utilizing floor segmentation for its mapping and navigation system, whereby a perception module and navigation module transform lidar and image data from lidar sensors and cameras of a robot sensing system using segmentation and pseudo-laserscan or point cloud transformations to generate global and local maps. The robot pose and maps are transmitted to a robot brain that directs an action module to produce robot action commands controlling the operation of a clutter tidying robot using the pose and map data. In this manner multi-stage planning and sophisticated obstacle avoidance techniques may be incorporated into autonomous robot operations.