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.

Embodiments of the present disclosure disclose a mowing method and apparatus, a robotic lawn mower, and a storage medium. The method includes: determining a current mowing direction of a robotic lawn mower according to a historical mowing direction in response to a mowing trigger request for the robotic lawn mower, the current mowing direction being different from the historical mowing direction; obtaining a preset grass region to be mowed; generating a mowing route following parallel arcuate paths pattern for traveling in the current mowing direction based on the grass region to be mowed, and a mowing mode and the current mowing direction of the robotic lawn mower; and controlling the robotic lawn mower to perform a mowing operation based on the mowing route following parallel arcuate paths pattern.

An autonomous lawn mower includes: an image acquisition apparatus disposed at a front end. An area covered by a projection of a field of view angle of the image acquisition apparatus onto a horizontal plane with a preset height is a field of view area of the image acquisition apparatus. The field of view area includes a first field of view boundary far away from the front end and a second field of view boundary close to the front end in the traveling direction of the body. The image acquisition apparatus is installed according to preset installation parameters, so that a distance between the first field of view boundary and the front end is greater than or equal to a response distance of the autonomous lawn mower.

A lawn mower control method and device, a lawn mower, and a storage medium. The method comprises: detecting operating data and sensing data of a plurality of operating sensors provided on a lawn mower, wherein the plurality of operating sensors comprise at least two different types of sensors (S101); fusing the sensing data of the plurality of operating sensors to obtain environment data around the lawn mower (S102); determining, when it is detected that a fault occurs in any of the operating sensors, a fault type of a faulty sensor according to the operating data of the faulty sensor and the environment data around the lawn mower, wherein the faulty sensor is an operating sensor in which a fault occurs (S103); and controlling, if the fault type of the faulty sensor is a first fault type, the faulty sensor to stop operating, and a backup sensor corresponding to the faulty sensor to start operating (S104). A redundant and accurate sensing function can be provided to enable accurate recognition of the fault type and effective handling of a fault.

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 working robot may include a body, a movement unit, a working unit, a magnetic sensor supported by the body, and a control unit. The control unit may be configured to execute a working operation of causing the working unit to work while causing the movement unit to move the body. The control unit may execute, during the working operation, an operation-suspending process of suspending the working operation when a predetermined operation-suspending condition is satisfied, a first magnetic field searching process of causing the movement unit to move the body straight in a first linear direction by a first distance and assessing whether a wire magnetic field is detected by the magnetic sensor after the operation-suspending process, and an operation-resuming process of resuming the working operation when the wire magnetic field is detected by the magnetic sensor.

Embodiments of the present disclosure disclose an abnormal area marking method and a related apparatus. The method includes: when a predicament is detected during an operation process, determining an area of a current position as an abnormal area; obtaining a sensing data set within a specified time period during the operation process, where the sensing data set is a set of data acquired by a sensor, and the specified time period represents a safe traveling time period before the robotic lawn mower gets into the predicament; determining abnormality description information of the abnormal area based on the sensing data set; and determining a target position corresponding to the abnormal area on an operation map, and establishing an association relationship between the target position and the abnormality description information.

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).

A lawn mower control method and device, a lawn mower, and a storage medium. The method comprises: detecting operating data and sensing data of a plurality of operating sensors provided on a lawn mower, wherein the plurality of operating sensors comprise at least two different types of sensors; fusing the sensing data of the plurality of operating sensors to obtain environment data around the lawn mower; determining, when it is detected that a fault occurs in any of the operating sensors, a fault type of a faulty sensor according to the operating data of the faulty sensor and the environment data around the lawn mower; and controlling, if the fault type of the faulty sensor is a first fault type, the faulty sensor to stop operating, and a backup sensor corresponding to the faulty sensor to start operating.

According to a mowing method disclosed in embodiments of the present disclosure, a plurality of preset working regions are obtained in response to a mowing trigger request for a robotic lawn mower; a mowing sequence corresponding to the working regions is output based on region information of the working regions; a closed mowing route covering all the working regions is generated based on the mowing sequence, current position information of the robotic lawn mower, and a mowing direction, where a starting point and an ending point of the closed mowing route are the same; and the robotic lawn mower is controlled to perform a mowing operation based on the closed mowing route.