A method of detecting slip between a self-propelled robotic tool and a grass surface comprises: driving on the grass surface; based on a desired heading and speed of the self-propelled robotic tool, generating a first drive signal for a first drive wheel of the self-propelled robotic tool; generating a time-variant drive signal pattern overlay; applying said time-variant drive signal pattern overlay to said first drive signal to form a first wheel control signal; operating a first drive wheel based on said first wheel control signal; receiving a movement signal from a movement detector; and determining a slip state based on an identification of said time-variant drive signal pattern overlay in said movement signal.

A visual identification positioning system includes a first positioning member, a second positioning member, and a mowing robot. The mowing robot has a visual identification unit and a computation unit. The visual identification unit identifies a first identification feature of the first positioning member and a second identification feature of the second positioning member to generate first and second signals to the computation unit. The computation unit computes a first coordinate, a second coordinate, a first distance between the mowing robot and the first coordinate, and a second distance between the mowing robot and the second coordinate according to the first and second signals, and defines first and second ranges with the first and second coordinates as centers according to the first and second distances, and computes a coordinate of an intersection of the first and second ranges as a current location coordinate of the mowing robot.

The invention relates to a control system for an autonomous vehicle, a method and an autonomous vehicle. The system comprises an image capturing means capable of capturing at least a first image of the environment of the vehicle and a second image of the environment, wherein the images are captured in a close time relationship but with different image capturing parameters. A processing means configured to obtain and process the images captured with different image capturing parameters separately and taking into consideration a first intensity threshold when processing the first image and a second, different intensity threshold when processing the second image. A control means for generating and outputting a control signal on the basis of a result of the at least one of the processed images.

A lawn mower 10 of the present embodiment travels on a lawn and cuts grass. The lawn mower 10 includes a drive source 12 and a controller 21. The drive source 12 generates power for the lawn mower 10 to travel. The controller 21 receives height at each position of the lawn from a sensor that detects the height at each position of the lawn or from a memory (a storage of the controller 21, a laptop PC 40, or a server) that stores the height at each position of the lawn and controls the drive source 12 based on a height change in the lawn in front in a travel direction to change a travel speed.

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.

A vegetation monitoring device with at least one camera unit (28) for monitoring vegetation health in a garden (10), wherein the at least one camera unit (28) is configured to detect the garden area (30, 32, 34) in at least a first range of the electromagnetic spectrum, in particular in the visible light range, and in at least a second region of the electromagnetic spectrum, in particular in the infrared range, in order to determine at least one vegetation index of at least one garden area (30, 32, 34) of the garden (10), in particular in the region of visible light, and in at least one second region of the electromagnetic spectrum, in particular in the infrared range, wherein the camera unit (28) is provided for an arrangement at least substantially above ground level of the garden (10) and for an at least substantially stationary arrangement outside or in the vicinity of the garden (10), and a vegetation monitoring system is proposed.

The present disclosure provides an anti-collision device and a robot. The anti-collision device has a first connecting member, a working structure and a first elastic member, the first connecting member is fixedly connected to a robot body, the working structure is arranged on a side of the first connecting member away from the robot body, the first elastic member is located between the first connecting member and the working structure, and the first elastic member is deformed when the working structure is impacted.

A robotic lawnmower system comprising a boundary wire and a robotic lawnmower arranged to operate in an operational area bounded by a virtual boundary, the robotic lawnmower comprising one or more magnetic sensors, one or more satellite navigation sensors and a controller, wherein the controller is configured to: cause the robotic lawnmower to operate in the operational area according to the virtual boundary based on the one or more satellite navigation sensors, determine that the robotic lawnmower is approaching the boundary wire, determine a boundary location, determine a distance (d) between the virtual boundary and the boundary wire at the boundary location, compare the determined distance (d) to a mode determination distance (D), and if the determined distance (d) is greater than the mode determination distance D, the robotic lawnmower is configured to cross the boundary wire and continue operating within the virtual boundary, or if the determined distance (d) is less than the mode determination distance, the robotic lawnmower is configured to continue to operate within the boundary wire.

A method for use in a robotic lawnmower system comprising a robotic lawnmower arranged to operate in an operational area based on the satellite navigation sensor, determining that the robotic lawnmower is in a satellite shadowed area and in response thereto querying the map application for a reference object, and navigate to the reference object based on the deduced reckoning sensor, determining that the reference object has been reached based on the object sensor and, if so, confirming a new position of the robotic lawnmower, determining that the robotic lawnmower is not in the satellite shadowed area and in response thereto again operate based on the satellite navigation sensor.

An autonomous work machine including a working unit, the autonomous work machine comprising: a detection unit configured to detect a rear work target object of the autonomous work machine; a determination unit configured to determine a state of the rear work target object based on a detection result of the detection unit; and a control unit configured to control a travel route of the autonomous work machine based on a determination result of the determination unit.