Systems and methods for route synchronization between two or more robots to allow for a single training run of a route to effectively train multiple robots to follow the route.

An information processing apparatus, an information processing method, and an information medium control motion of a moving body according to position information corresponding to a predetermined array pattern. An information processing apparatus includes an information acquisition unit acquires position information from a sensor configured to read a predetermined array pattern, and a motion control unit controls motion of a first moving body including movement in a real space based on the position information.

In a method for charging an electric device by a service rendering system, a controller of the service rendering system receives an image captured by an image sensor and processes the image to identify a label in the image as corresponding to the electric device. The controller obtains a service point location encoded in the label, where the service point location includes a location relative to a location of the label. The controller obtains service information included in the label, where the service request includes a charging service, and the charging service includes a description of an electric charging input of the electric device. The controller calculates a label position of the label using the image of the label and calculates a service point position using the service point location and the label position, where the service point position includes the electric charging input.

A mobile robot and a method of controlling the same are provided, and more specifically, a technology of automatically generating a map of a lawn working area by a lawn mower robot. The mobile robot includes one or more tags configured to receive a signal from one or more beacons, a vision sensor configured to distinguish and recognize a first area and a second area on a travelling path of the mobile robot and acquire position information of a boundary line between the first area and the second area, and at least one processor configured to determine position coordinates of the mobile robot based on pre-stored position information of the one or more beacons, determine position coordinates of the boundary line based on the determined position coordinates of the mobile robot and the acquired position information of the boundary line, and generate a map of the first area while travelling along the determined position coordinates of the boundary line.

The present disclosure provides a stair climbing gait planning method and an apparatus and a robot using the same. The method includes: obtaining first visual measurement data through a visual sensor of the robot; converting the first visual measurement data to second visual measurement data; and performing a staged gait planning on a process of the robot to climb the staircase based on the second visual measurement data. Through the method, the visual measurement data is used as a reference to perform the staged gait planning on the process of the robot to climb the staircase, which greatly improves the adaptability of the robot in the complex scene of stair climbing.

A mobile object configured for movement in an area equipped with VLC illumination sources comprises a light sensor arranged to detect illumination from at least one of the illumination sources within the view of the light sensor; a computer arranged to determine from the detected illumination (i) a position of the mobile object relative to the at least one illumination source and (ii) the identifier of the at least one illumination source; and a transceiver. The transceiver can receive from another mobile object a message comprising the position of the other mobile object relative to a source of illumination, and the identifier of that source of illumination. From this, the computer determines from its position and the message a distance from the other mobile object. A mobile object which transmits such a message is also envisaged.

A hybrid modular storage fetching system is described. In an example implementation, an automated guided vehicle of the hybrid modular storage fetching system includes a drive unit that provides motive force to propel the automated guided vehicle within an operating environment. The automated guided vehicle may also include a container handling mechanism including an extender and a carrying surface, the container handling mechanism having three or more degrees of freedom to move the carrying surface along three or more axes. The container handling mechanism may retrieve an item from a first target shelving unit using the carrying surface and the three or more degrees of freedom and place the item on a second target shelving unit. The automated guided vehicle may also include a power source coupled to provide power to the drive unit and the container handling mechanism.

A robot system includes a base, a robot arm coupled to the base, a movement mechanism that moves the base, an input unit to which a target position of the base is input, a control unit that controls actuation of the movement mechanism based on the target position input to the input unit, a detection unit that detects a difference between a stop position of the base after the movement of the base by the movement mechanism is completed and the target position, and a memory unit that stores information on the difference detected by the detection unit. When the base is moved, the control unit sets a set target position where the base should stop according to the information already stored in the memory unit.

Disclosed are a vehicle navigation positioning method, apparatus, base station and system and a readable storage medium. The vehicle navigation positioning method includes: receiving a navigation positioning service request and generating driving planned route information (S301); collecting navigation positioning parameters, and calculating according to the navigation positioning parameters to acquire a positioning error value accumulated during unmanned vehicle driving (S302); inquiring about a closest navigation correcting base station according to the driving planned route information when the positioning error value accumulated during unmanned vehicle driving reaches a positioning error threshold (S303); and establishing communication connection with the navigation correcting base station, acquiring navigation correcting parameters through the navigation correcting base station and modifying the navigation positioning parameters according to the navigation correcting parameters (S304). By calculating the accumulated error value in the navigation positioning process and modifying the navigation positioning parameters through the navigation correcting base station, an unmanned vehicle can constantly correct errors in the driving process, and when entering a working area, has a positioning precision level required by operation so as to be applicable to application scenarios with accurate positioning requirements.

An autonomous mobile device and a method for controlling the same are provided. The method includes: performing first positioning on the autonomous mobile device to acquire a first current pose of the autonomous mobile device in a first coordinate system; performing second positioning on the autonomous mobile device when determining, based on the first current pose and a first preset pose of a charging station in the first coordinate system, that a distance between the autonomous mobile device and the charging station is less than or equal to a first preset distance, to obtain a second current pose of the autonomous mobile device in a second coordinate system, and determining, based on the second current pose and a second preset pose of the charging station in the second coordinate system, a second planned path for directing the autonomous mobile device to a docking position of the charging station.