An automatic working system, a turning method thereof, and a self-moving device. When the self-moving device reaches a boundary, a control module controls a movement module to turn to leave the boundary. In addition, the control module may control, based on coverage values corresponding to each movement range when the self-moving device reaches the boundary, the movement module to turn to a movement range with a coverage value that meets a preset requirement.

A work region setting device includes a processor executes computer-readable instructions to perform acquiring map information about a work region and work machine information about a plurality of work machines, deciding the work target region for each of the work machines for performing the work in a work range of a work region designated based on the map information, setting the decided work target region for each work machine, and transmitting the work target region to the work machine. The work machines include a first second work machines. The deciding of the work target region includes deciding a region including an edge of a boundary line located around the work range as a second work target region of the second work machine and deciding a region of the work range inside of the second work target region as a first work target region of the first work machine.

A dynamic machine automation planning system that facilitates active machine mission planning. The system may flexibly modify mission plans for a plurality of machines associated with a project, including to facilitate fleet participation changes to add or remove machines during an active project. When replanning, the system may evaluate active completion status and select uncompleted sections for reassignment during a modification. Revised mission plans may be developed for one or more of the active machines based on system evaluation and user guidance.

Systems, apparatus, articles of manufacture, and methods are disclosed to determine a boundary for vehicle operation in queried plot of land. An example apparatus includes circuitry to instantiate machine-readable instructions to: generate a first boundary based on a query for a boundary of a plot of land; compute a first probabilistic boundary for the first boundary based on an error of generation of the first boundary; compute a second probabilistic boundary for a second boundary based on an error of generation of the second boundary; and combine the first probabilistic boundary and a second probabilistic boundary to generate a soft boundary, the combination based on a first confidence score and a second confidence score.

Systems, apparatus, articles of manufacture, and methods are disclosed to determine a boundary for a work plan. An example apparatus includes circuitry to instantiate the machine-readable instructions to: detect a first attribute and a second attribute based on a characteristic of a plot of land, the first attribute corresponds to an uncertain feature in the plot of land; determine a first machine operation based on the first attribute and a second machine operation based on the second attribute; determine a first boundary around a first region, the first region including a first area of the plot of land including the first attribute; determine a second boundary around a second region, the second region including a second area of the plot of land including the second attribute; and determine a work plan based on the first boundary, the second boundary, and a relevance between the first attribute and the second attribute.

An autonomous mobile robot control method and apparatus, a device and a readable storage medium. An autonomous mobile robot determines a sound source direction according to a voice signal from a user, and determines moving objects around the autonomous mobile robot itself. The autonomous mobile robot determines, from the moving objects, a target object located in the sound source direction, determines a working area according to the target object, and moves to the working area, and executes a task.

Some aspects provide a method for instructing operation of a robotic floor-cleaning device based on the position of the robotic floor-cleaning device within a two-dimensional map of the workspace. A two-dimensional map of a workspace is generated using inputs from sensors positioned on a robotic floor-cleaning device to represent the multi-dimensional workspace of the robotic floor-cleaning device. The two-dimensional map is provided to a user on a user interface. A user may adjust the boundaries of the two-dimensional map through the user interface and select settings for map areas to control device operation in various areas of the workspace.

A method includes receiving sensor data collected by an autonomous mobile robot as the autonomous mobile robot moves about an environment, the sensor data being indicative of sensor events and locations associated with the sensor events. The method includes identifying a subset of the sensor events based on the locations. The method includes providing, to a user computing device, data indicative of a recommended behavior control zone in the environment, the recommended behavior control zone containing a subset of the locations associated with the subset of the sensor events. The method includes defining, in response to a user selection from the user computing device, a behavior control zone such that the autonomous mobile robot initiates a behavior in response to encountering the behavior control zone, the behavior control zone being based on the recommended behavior control zone.

Disclosed is a smart snow removal method, applied to a snow removal robot. The method includes: obtaining, through global positioning system real-time kinematic (GPS-RTK) positioning technology, a latitude and longitude coordinates of a target snow throwing area and a target snow removal area, to generate a snow removal map; rasterizing the snow removal map; converting the snow removal map into a potential field: starting from a grid located in the target snow throwing area, and assigning, through a breadth-first search (BFS) algorithm, a potential energy value to the grid located in the target snow removal area in an outward diffusion manner; wherein the potential energy value increases with an increase in a number of diffusion layers; and controlling the snow removal robot to travel on an uncleaned grid with a highest current potential energy value one by one, and performing the snow removal operation on an arrived grid.

A method for partition cleaning planning of a cleaning robot includes: obtaining a first position of the cleaning robot at a current cleaning moment, and a second position at a previous cleaning moment previous to the current cleaning moment; in response to a distance between the first position and the second position is greater than a predetermined distance threshold, determining a partition to which the first position of the cleaning robot belongs; determining an uncleaned area within the partition to which the first position belongs, and performing path planning based on the uncleaned area; and controlling the cleaning robot according to a result of the path planning.