Abstract: The present disclosure relates to a localization method and apparatus, and a computer apparatus and a computer-readable storage medium. The localization method includes performing radar mapping and visual mapping by respectively using a radar and a vision sensor, wherein a step of the vision mapping includes determining a pose of a key frame; and combining radar localization with vision localization based on the pose of the key frame, to use vision localization results for navigation on a map obtained by the radar mapping.

Abstract: A refrigerator includes a water dispensing device, and the water dispensing device includes a water tank, a drain pipeline, a beverage making chamber, in which a capsule support for receiving a beverage powder capsule and a capsule piercer for puncturing the capsule operatively are provided; and a dispenser, communicated with an outlet of the beverage making chamber, including a beverage outlet of which the prepared beverage flows out. The refrigerator has a water dispensing device capable of making a beverage, such as coffee, milk tea, or the like, based on demands from a user, thereby satisfying diverse drinking demands from people and solving problem of a single function of an existing refrigerator.

Abstract: Disclosed are a method and an apparatus for path optimization, a robot and a storage medium. The method includes: acquiring an initial path of a robot, and iteratively optimizing the initial path until a preset iteration termination condition is met to obtain obstacle avoidance path of the robot: acquiring an iteration path corresponding to a current iteration process, determining a smoothness cost and a smoothness optimal gradient; determining a robot's footprint contour corresponding to the iteration path point, and searching for a first nearest obstacle distance; determining an obstacle cost corresponding to the iteration path and an obstacle optimal gradient corresponding to the iteration path point based on the first nearest obstacle distance; adjusting the iteration path point to acquire an iteration path corresponding to a next iteration process; inputting the smoothness cost and the obstacle cost to a preset objective function.

Abstract: Disclosed are a method, an apparatus and a system for multi-device cooperation and medium. The method for multi-device cooperation is applied to any one of requesting devices, the method including: broadcasting a cooperation request; determining other requesting devices responding to the cooperation request and regarding the other requesting devices responding to the cooperation request as cooperative devices; and establishing a near field wireless communication connection with the cooperative device, and performing data interaction with the cooperative device based on the near field wireless communication.

Abstract: Disclosed are a path planning method and a device, a robot and a storage medium. The method includes: grading a traversable region between a starting point and an end point in a grid map, and determining cost values corresponding to regions of each level; traversing the traversable region from the starting point based on the cost values of the regions of each level, and determining a plurality of target nodes conforming to a minimum value of a preset function; and determining a target path of a robot based on the plurality of target nodes.

Abstract: A robot relocalization method and apparatus, and a storage medium and an electronic device. The method comprises: performing feature coding on local visual features of image data to obtain image vector features, and searching, in a pre-set key frame database, for the image vector features subjected to dimension reduction processing, so as to obtain a plurality of search results (S120); solving the pose of a robot according to each search result, so as to obtain a first pose initial value, and performing matching on laser point cloud data in a pre-set two-dimensional grid map according to speed data and displacement data, so as to obtain a first matching result (S130); and generating a second matching result according to the first pose initial value and the first matching result, and performing robot relocalization according to a second pose initial value, the first matching result and the second matching result.