The present application discloses a sweeping method of a swimming pool cleaning robot and a cleaning robot, the method including: acquiring map information about an area to be cleaned; planning a first sweeping path based on the map information, the first sweeping path meeting pre-set cleaning parameter requirements; controlling the cleaning robot to travel and perform a cleaning operation based on the first sweeping path; determining whether the cleaning operation is ended, and if so, controlling the cleaning robot to travel to a missed area so as to perform supplementary sweeping. This application can improve sweeping coverage rate and sweeping efficiency.

The present disclosure provides an autonomous mobile device. The autonomous mobile device includes a device main body, provided with a buffer component on a front side of the device main body; a line laser module, arranged on at least one of the device main body and the buffer component and located between the buffer component and the device main body, wherein the line laser module includes a camera device configured to capture an environmental image and a first window is arranged at a position on the buffer component corresponding to the camera device to enable external ambient light to enter the camera device; and an infrared fill-in lamp, arranged on the buffer component.

A robot device includes: a sensor; a memory storing map information corresponding to a predetermined space and including a plurality of zones; and a processor that identifies a position of user, identifies whether the user is positioned in a first zone among the plurality of zones, based on the identified position of the user and the map information, and based on identifying that the user is positioned in the first zone, identifies a movement path of the robot device based on remaining zones except for the first zone among the plurality of zones.

An individual access element to a room in a household can be brought into an open state and into a closed state. A method for recognizing an individual state of the access element includes the steps of determining a position at which an individual access element is located in the household, non-contact scanning the individual access element while it is in a predetermined state, storing information regarding the individual access element on the basis of its scan and state, capturing a further non-contact scan of the individual access element in the household, and recognizing a state of the individual access element on the basis of the further non-contact scan and the stored and predetermined information. A floor robot and a system having a floor robot, are also provided.

Provided are an obstacle avoidance method for a self-propelled device, a medium, and a self-propelled device. The method includes acquiring a suspension height of an obstacle on a current travel route during traveling; determining whether the suspension height of the obstacle is within a preset limited height range, wherein the preset limited height range enables a part of the self-propelled device to pass the suspension height and an other part of the self-propelled device is limited by the suspension height; and acquiring, in response to determining that the suspension height of the obstacle is within the preset limited height range, current traveling state information of the self-propelled device, and determining whether to adjust the current travel route based on the current traveling state information to avoid the obstacle.

A work management system includes: a working robot configured to perform work while autonomously traveling on a field; a management facility configured to manage the field and balls; and a management device configured to know a management situation of the balls. A work schedule of the working robot is adjusted depending on a ball management situation known by the management device.

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 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.