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 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.

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