An automatic working system comprises a self-moving device moving and working in a working region, a handheld device and a control module. The handheld device is configured to move along a perimeter of the working region with a user and comprises a detecting module, detecting the perimeter information of the working region; and an input module, receiving a command of the user for detecting the perimeter information. The control module comprises a perimeter setting unit, generating virtual data of the perimeter, an area calculation unit calculating the area of the working region and a scheduling unit generating a working schedule. The self-moving device comprises a working module, a driving module and a controller. The controller controls the self-moving device to work according to the working schedule.

A moving robot has a body and at least one wheel for moving the main body. The moving robot has a transceiver to communicate with a plurality of location information transmitters located within an area. The moving robot also has a memory storing coordinate information regarding positions of the location information transmitters. Further, the moving robot has a controller that sets a virtual boundary based on location information determined using signals transmitted by the location information transmitters. The controller controls the wheel so that the main body is prevented from traveling outside the virtual boundary. The controller sets a reference location information transmitter and corrects the stored coordinate information by correcting height errors based on height differences between the reference location information transmitter and the other location information transmitters. The controller also corrects a current position of the main body based on the corrected stored coordinate information.

A robotic work tool system (200) for defining a working area perimeter (105) surrounding a working area (150) in which a robotic work tool (100) is intended to operate. The robotic work tool system (200) comprises a boundary definition unit (300) comprising at least one position unit (175) for receiving position data; and at least one controller (210) for controlling operation of the boundary definition unit (300). The controller (210) being configured to receive, from the position unit (175), position data while the boundary definition unit (300) is moved around the working area (150) to define a preliminary working area perimeter (110). The controller (210) is further configured to identify, based on the received position data, a geometry of the preliminary working area perimeter (110) approximately corresponding to a predefined geometry; and to adjust the identified geometry to define an adjusted working area perimeter (105), wherein the identified geometry is adjusted to correspond to the predefined geometry.

Training an autonomous machine in a work region for navigation in various lighting conditions includes determining a feature detection range based on an environmental lighting parameter, determining a feature detection score for each of one or more positions in the containment zone based on the feature detection range, determining one or more localizable positions in the containment zone based on the corresponding feature detection scores, and updating the navigation map to include a localization region within the containment zone based on the one or more localizable positions. Navigation may use one or more of an uncertainty area, the localization region, and one or more buffer zones to navigate based on lighting conditions.

A control device capable of improving the position accuracy of map data is disclosed. The control device is configured to acquire information which is output from a working machine which includes a working part and works along a boundary between a working area and a non-working area. The control device includes an operating state acquisition part configured to acquire information indicating an operating state of a machine body of the working machine; a judgment part configured to determine the operating state of the machine body, based on information acquired by the operating state acquisition part; a position information acquisition part configured to acquire position information indicating a position of the machine body; and a storage control part configured to store the position information acquired by the position information acquisition part in the storage, based on a determination result of the judgment part.

Embodiments of this specification provide a working map construction method and apparatus, a robot, and a storage medium. The method includes: determining a moving path of a robot when the robot moves forward as a first forward moving path; determining, after the robot moves backward, a position of the robot when the robot changes from moving backward to moving forward again as a correction position; determining an auxiliary position on the first forward moving path according to the correction position in a case that the correction position is not on the first forward moving path; and determining a correction path according to the correction position and the auxiliary position, so as to construct a working map of the robot according to the correction path and the first forward moving path.

A outdoor power equipment system includes a removable rechargeable battery module, a robotic lawn mower, and a portable power equipment. The robotic lawn mower includes a receptacle configured to receive the battery module, and an electric motor electrically coupled to the receptacle to receive electricity to drive at least one of a wheel and a cutting implement. The portable power equipment includes a receptacle configured to receive the battery module, and at least one of an electric motor, a light source, and an amplification circuit coupled to the receptacle to receive electricity.

A method for path planning, an automatic gardening device, and a computer program product are provided. The method includes: receiving a preset travel direction in a work region; dividing the work region into a plurality of subregions; determining, for each of the subregions, an actual planned direction in the subregion from the preset travel direction and a recommended planned direction in the subregion, and determining a local planned path corresponding to the subregion based on the actual planned direction, wherein a path of traversing the subregion along the recommended planned direction has a shortest length; acquiring a moving sequence between the subregions; and determining a global planned path of the work region based on the local planned path of each of the subregions and the moving sequence between the subregions.

Embodiments of the present disclosure provide a method for calibrating a lawnmower, including: collecting a preset number of position data of the lawnmower moving relative to a charging station; performing straight line fitting using the preset number of position data; and determining, if the preset number of position data fits a straight line, an orientation of the charging station based on a slope of the fitted straight line. Accordingly, embodiments of the present disclosure may accurately determine the orientation of the charging station and has the advantages of high calibration accuracy and low calibration cost.

A robotic vehicle may include one or more functional components configured to execute lawn care function, a sensor network comprising one or more sensors configured to detect conditions proximate to the robotic vehicle, a positioning module configured to determine robotic vehicle position while the robotic vehicle traverses a parcel, and a boundary management module configured to enable the robotic vehicle to be operated within a bounded area. The bounded area may include a variable boundary, and the boundary management module may be configured to receive instructions from an operator to adjust the variable boundary.