The invention relates to a computer-implemented method for determining a time window for operation (TWO) of a garden device (100), in particular a mowing robot (101), a garden tractor (102) or a mower (103). The time window for operation (TWO) is determined according to input data (ID), e.g. weather data, lawn characteristics data and user profile data, by means of a grass growth simulation (201) and/or by means of a trained AI system (202) and proposed to the user for evaluation. Training data (TD) can be generated based on the user evaluation data (UED) in order to train the AI system (202). Improved garden device deployment plans can be generated by training the AI system (202) with the generated training data (TD).

Provided is an electronic apparatus and method of controlling same. The electronic apparatus includes: at least one memory storing one or more instructions and further storing information on a cleaning path and dust distribution information; a driver; and one or more processors connected to the at least one memory and to the driver, wherein the one or more processors are configured to execute the one or more instructions, and wherein the one or more instructions, when executed by the one or more processors, are configured to cause the electronic apparatus to: identify a cleanable area corresponding to at least a portion of the cleaning path, and control the driver to change the cleaning path based on the cleanable area and the dust distribution information.

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.

The present disclosure relates to the field of cleaning technology and discloses a method for exploring a ground material, a cleaning robot, and a storage medium. The method includes: obtaining status information of the cleaning robot and selecting an edge exploration mode based on the status information when the cleaning robot detects a preset ground material, wherein the edge exploration mode is either an inner edge exploration mode or an outer edge exploration mode; and performing edge exploration on the preset ground material according to the edge exploration mode and obtaining a contour of the preset ground material.

An intelligent system for a photovoltaic cleaning robot includes: a control terminal, an intelligent control center, a stain detection database, and an intelligent device; where the intelligent device includes a camera shooting module, a motion flight module, and a cleaning module; the intelligent device and the intelligent control center are integrated on the photovoltaic cleaning robot; the intelligent control center and the control terminal are connected by a wireless communication; the intelligent control center is connected to the stain detection database through the wireless communication. In the intelligent system for the photovoltaic cleaning robot, even in a distributed photovoltaic power station with a harsh environment and terrain, it can also do the unmanned intelligent cleaning operation and maintenance work of the photovoltaic plate, where the operator only needs to operate the control terminal according to the attenuation of power generation of the power station to issue simple instructions.

A computer-implemented method of controlling the operation of a robotic vacuum cleaner that includes the steps of: receiving dust distribution data indicating the spatial distribution of dust particles across the floor of a building; and planning a cleaning operation of the floor of the building to be executed by the robotic vacuum cleaner, based on the received dust distribution data. Additional computer-implemented methods relate to planning a cleaning operation manually via a client device, and an alert generation method based on dust distribution data.

A robot cleaner includes: an IR light source; an IR receiver; a driver; and one or more processors configured to: control the driver to move the robot cleaner through a space, output IR light using the IR light source while the robot cleaner moves through the space, and perform an operation of detecting liquid on a floor around the robot cleaner based on the reflected IR light received by the IR receiver, and to: perform the operation of detecting liquid in a first mode, based on the liquid being detected, change the robot cleaner to a second mode, and perform the operation of detecting liquid in the second mode. In the first mode, the operation of detecting liquid is performed based on a specific period. In the second mode, a period of the operation of detecting liquid is changed based on a distance between the robot cleaner and the liquid.

A method of estimating a location of a cleaning machine include performing a mapping of a surrounding environment with an intelligence module of the cleaning machine. A path of the cleaning machine is recorded while the cleaning machine is in use. The cleaning machine is connected to a cloud computer. Data is shared from the cleaning machine with the cloud computer. At least one of a state of position, speed, acceleration, angular heading, a rate of rotation, a rate of acceleration, or a combination thereof of the cleaning machine is then estimated.

A cleaning method includes: determining a target cleaning region, generating a cleaning trajectory in the target cleaning region in response to a path planning instruction, and performing a cleaning action along the cleaning trajectory. The present disclosure also discloses a cleaning apparatus, a cleaning device, and a storage medium.

Disclosed herein are systems, devices, and methods of a sanitation system for intelligently adapting the cleaning operations of a sanitation robot. The sanitation system detects a plurality of objects in a workspace and then, for each detected object of the plurality of objects, determines a sanitation score for the detected object based on observations of the detected object over a time period. The sanitation system generates a cleaning schedule based on the sanitation score for each detected object, wherein the cleaning schedule comprises instructions for a sanitation robot to clean the plurality of objects.