ROBOT RELOCALIZATION METHOD AND APPARATUS, AND STORAGE MEDIUM AND ELECTRONIC DEVICE

    公开(公告)号:US20230266470A1

    公开(公告)日:2023-08-24

    申请号:US18005362

    申请日:2021-06-08

    CPC classification number: G01S17/89 G06V10/443 G01S17/58

    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.

    PORTABLE DEVICE POSITIONING DATA PROCESSING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20220414929A1

    公开(公告)日:2022-12-29

    申请号:US17757150

    申请日:2020-11-30

    Abstract: A method for processing positioning data of a mobile device is provided, comprising: acquiring a first original point set and a target point set by measuring an object surface with the mobile device; extracting feature points from the first original point set to obtain an original key point set; extracting feature points from the target point set to obtain a target key point set; performing a first registration operation on the original key point set and the target key point set to obtain a first model transformation parameter; transforming the first original point set by the first model transformation parameter to obtain a second original point set; performing a second registration operation on the second original point set and the target point set to obtain a second model transformation parameter; and acquiring third model transformation parameter based on the first model transformation parameter and the second model transformation parameter.

    METHOD AND APPARATUS FOR PATH OPTIMIZATION, ROBOT AND STORAGE MEDIUM

    公开(公告)号:US20240083030A1

    公开(公告)日:2024-03-14

    申请号:US18264236

    申请日:2021-12-14

    CPC classification number: B25J9/1666 G05D1/0221 G05D2201/0217

    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.

    ROBOT TRAVELING METHOD, AND ELECTRONIC DEVICE

    公开(公告)号:US20240004389A1

    公开(公告)日:2024-01-04

    申请号:US18037174

    申请日:2021-12-17

    CPC classification number: G05D1/0214 G05D1/0274 G05D1/024

    Abstract: A robot traveling method, includes: detecting an obstacle, and obtaining first coordinate points of the obstacle in a first coordinate system which is a coordinate system of an obstacle detector; obtaining second coordinate points of the obstacle in a second coordinate system by performing coordinate system transformation on the first coordinate points, the second coordinate system being a coordinate system of a robot; obtaining a first azimuth corresponding to each second coordinate point, traversing all the first azimuths, and determining a farthest target coordinate point that the robot is allowed to reach when walking along a currently traversed first azimuth by performing coordinate axis rotation on all the second coordinate points based on the currently traversed first azimuth; and obtaining a target azimuth deviation of the robot based on the target coordinate point corresponding to each first azimuth, and controlling the robot to travel based on the target azimuth deviation.

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