The present disclosure discloses a universal method for controlling recharge of robot, chip and robot, the method includes: S1, whether the robot has detected the navigation target point or not is determined, if yes, the robot is controlled to move along a planned navigation path, otherwise, the process proceeds to S3; in the moving process, when the charging station signal is received or all the pre-marked navigation target points are traversed, the process proceeds to S2; S2, whether the robot has received the charging station signal or not is determined, if yes, charging on the station is carried out, otherwise, the charging station signal is searched, and when the robot does not receive the charging station signal, the process returns to S1; S3: the robot is controlled to search for the charging station signal until searching the charging station signal, returning to S2, otherwise, walking along the boundary is continued.

Disclosed is an image processing method of processing a plurality of images into a single image, including: obtaining at least a left image, a center image, and a right image from a plurality of cameras arranged in a row; generating a left top-view image, a center top-view image, and a right top-view image based on the left image, the center image, and the right image, respectively; generating one wide top-view image by merging the left top-view image, the center top-view image, and the right top-view image; and generating and outputting the wide top-view image as a final wide image. Thus, the images from the plurality of cameras are merged into a single image, thereby reducing fatigue of a robot operator.

A method for determining a motion path on a surface in an environment, along which motion path a mobile appliance, in particular a robot, preferably a domestic robot or a robot vacuum cleaner, is intended to move. The method includes obtaining environment information and determining a region of the surface intended to be covered by the motion of the mobile appliance; determining, while taking into account the environment information, whether within the region there is at least one uneven area in the surface that can be negotiated by the mobile appliance; and determining the motion path while taking into account the at least one uneven area, if there is one. A mobile appliance is also described.

Disclosed are an area cleaning planning method for robot walking along the boundary, a chip and a robot. The area cleaning planning method includes: on a laser map which is scanned and constructed by a robot in real time, the robot is controlled to walk along the boundary in a predefined cleaning area framed at the current planning starting point position, so that the robot does not cross out the predefined cleaning area in the process of walking along the boundary; meanwhile, according to the division condition of the room cleaning subareas that conform to the preset wall environment condition in the predefined cleaning area, the robot is controlled to walk along the boundary in a matched area, when the robot walks along the boundary in the matched area and returns to the planning starting point position, the robot is controlled to perform planned cleaning in the matched area.

An electronic apparatus for controlling a robot cleaner and an operation method thereof. The electronic apparatus that obtains position information, by using a wireless communication interface, based on at least one of a position of a position tracking tag device, a position of at least one home appliance located around the robot cleaner, and a relative position between the robot cleaner and the electronic apparatus, determines a target cleaning region based on the obtained position information, and transmits information about the determined target cleaning region to the robot cleaner.

A robot includes: a communication interface; a sensor configured to obtain distance data; a driver configured to control a movement of the robot; a memory storing with map data corresponding to a space in which the robot travels; and a processor configured to: control the sensor to output a sensing signal for sensing a distance with an external robot, obtain position information of the external robot based on a time at which at least one echo signal is received from the external robot, control at least one of the driver or an operation state of the external robot based on the position information, transmit a control signal for controlling the operation state of the external robot through the communication interface, identify, based on an error occurring in communication with the external robot through the communication interface, a pose of the external robot based on a type of the at least one echo signal received from the external robot, identify a target position of the robot based on the pose of the external robot and the stored map data, and control the driver to move to the target position.

A method for operating a mobile self-propelled appliance, in particular a floor cleaning appliance such as a robot vacuum cleaner and/or robot sweeper and/or robot mopping appliance, includes detecting at least one obstacle in a floor processing area, cleaning a surrounding area of the obstacle by using at least two straight driving maneuvers at the obstacle from different directions, and basing the number and direction of the straight driving maneuvers on a size and/or shape of the obstacle. A mobile self-propelled appliance which is configured to implement the method is also provided.

The present disclosure relates to a method for straight edge detection by a robot and a method for reference wall edge selection by a cleaning robot. The method for straight edge detection by the robot includes that: position coordinates of detection points are determined according to distance values detected by a distance sensor of the robot and angle values detected by an angle sensor of the robot, and then a final straight edge is determined according to a slope of a straight line formed by adjacent two of the detection points.

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 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.