Abstract: A traversal method and system, a robot, and a readable storage medium are disclosed, wherein the method may include: acquiring a grid map and establishing the rectangular coordinate system covering the grid map; and if traversal is performed for the first time, driving the robot to arrive at the starting point, and driving the robot to, according to a randomly selected preset rule, traverse the working region in which the starting point is located and work synchronously; when it is confirmed that the current preset rule applied to the first traversal cannot continue to be executed, acquiring the area of each independent working region in the remaining working region, if the area of any independent working region is not less than a preset area threshold, selecting any coordinate point as a working start point in the working region the area of which is not less than the preset area threshold, driving the robot to arrive at the working start point, and, starting from the working start point, randomly selecting t

Abstract: A grid map-based robot pathfinding method includes obtaining a first grid map and a second grid map, wherein the second grid map is generated by merging grids in the first grid map, and the resolution of the second grid map is lower than that of the first grid map; planning a travel path of a robot from a current position to a preset target point according to the second grid map; and determining an obstacle position if the travel path is impassable, determining a first path of the robot from the current position to the obstacle position based on the second grid map, and determining a second path of the robot from the preset target point to the obstacle position based on the second grid map; planning a transition path from an endpoint of the first path to an endpoint of the second path according to the first grid map; and obtaining a target path of the robot according to the first path, the second path, and the transition path.

Abstract: A self-working system, a self-walking device (1) and a method for controlling same, and a computer-readable storage medium. The control method comprises: acquiring a captured image; processing the captured image to acquire a processed image; segmenting the processed image into at least one sub-region; calculating the size An of each sub-region, respectively; counting the number of sub-regions with An>V in the processed image, and marking same as the number Nb of special sub-regions, wherein V is a preset quantity threshold; if Nb?1, judging that the captured image belongs to a lawn region; and if Nb> 1, judging that the captured image belongs to a non-complete lawn region. If it is judged that a captured image belongs to a non-complete lawn region, it can be determined that there is a large obstacle or a boundary (2), etc.

Abstract: A control method for a robot mower includes controlling the robot mower to work within a lawn having a plurality of unmowed areas, and controlling the robot mower to turn upon detecting either a boundary of the lawn or an obstacle. When controlling the robot mower to turn, the method includes obtaining a target position determined according to the unmowed region with the largest area. The method then calculates a turning angle of the robot mower according to a current position and a current orientation of the robot mower and the target position; controls the robot mower to turn according to the turning angle; and control the robot mower to move forward.

Abstract: A control method for a self-moving device controls the self-moving device to move in a designated area to process a predetermined object in the designated area. The method includes steps of: obtaining, during the moving process of the self-moving device, an image of an area in a forward direction of the self-moving device; and determining, according to the image, whether the predetermined object in the area in the forward direction of the self-moving device includes a specific predetermined object, so as to control a moving direction of the self-moving device. The specific predetermined object and the predetermined object have at least one different feature parameter. A related self-moving device is also disclosed.

Abstract: A self-working system, a self-walking device (1) and a method for controlling same, and a computer-readable storage medium. The control method comprises: acquiring a captured image; processing the captured image to acquire a processed image; segmenting the processed image into at least one sub-region; calculating the size An of each sub-region, respectively; counting the number of sub-regions with An>V in the processed image, and marking same as the number Nb of special sub-regions, wherein V is a preset quantity threshold; if Nb?1, judging that the captured image belongs to a lawn region; and if Nb> 1, judging that the captured image belongs to a non-complete lawn region. If it is judged that a captured image belongs to a non-complete lawn region, it can be determined that there is a large obstacle or a boundary (2), etc.

Abstract: A traversal method and system, a robot, and a readable storage medium are disclosed, wherein the method may include: acquiring a grid map and establishing the rectangular coordinate system covering the grid map; and if traversal is performed for the first time, driving the robot to arrive at the starting point, and driving the robot to, according to a randomly selected preset rule, traverse the working region in which the starting point is located and work synchronously; when it is confirmed that the current preset rule applied to the first traversal cannot continue to be executed, acquiring the area of each independent working region in the remaining working region, if the area of any independent working region is not less than a preset area threshold, selecting any coordinate point as a working start point in the working region the area of which is not less than the preset area threshold, driving the robot to arrive at the working start point, and, starting from the working start point, randomly selecting t

Abstract: A robot automatic charging method includes the steps of: controlling the robot to start working within a working region; when the robot needs to be charged, controlling the robot to move towards a charging station and detecting a strength of a target signal in the working region during the movement of the robot; controlling the robot to adjust its moving direction based on detected changes in the strength of the target signal to control the robot to move towards a guiding device near the charging station; and controlling the robot to move towards the charging station according to the guiding device. A robot automatic charging system, a robot, and a computer-readable storage medium are also disclosed.

Abstract: A control method for a robot includes the following steps: receiving work plan data containing a work prohibited time period and updating same to a memory; storing the updated work plan data to the memory; calculating, according to a current time and the work plan data, the most recent work prohibited time period and the most recent work start time point; according to a relation between the most recent work prohibited time period and the most recent work start time point, arranging a time point to trigger a corresponding next step of work event; and controlling the robot to execute the corresponding next step of work event. By arranging the next step of work event according to a current time and work plan data, a work plan can be set inversely, the demands of different users are flexibly satisfied, and the setting operation is convenient.