Method for constructing curve of robot processing path of part with small curvature based on point cloud boundary

    公开(公告)号:US11200351B2

    公开(公告)日:2021-12-14

    申请号:US17059469

    申请日:2020-06-13

    Abstract: The disclosure discloses a method for constructing actual processing curve of part with small curvature based on a point cloud boundary. The method includes: (a) encrypting a three-dimensional ordered boundary curve of a part to be processed; (b) fitting encrypted boundary points into a plane, and projecting each boundary point into the plane to obtain a projection point; (c) performing Euclidean cluster within the plane to obtain point sets, and fitting the obtained point sets into a straight line; (d) performing the Euclidean cluster on projection points that are not fitted into the straight line to obtain corner point sets, and fitting a sharp corner or a rounded corner of the corner point sets to obtain a fitted boundary curve within the plane; (e) mapping the fitted boundary curve to a curved surface of the three-dimensional ordered boundary curve to obtain an actual processing curve of the part to be processed.

    Method for extracting robot processing boundary of thin-walled part with small curvature based on three-dimensional point cloud

    公开(公告)号:US11106932B2

    公开(公告)日:2021-08-31

    申请号:US17059474

    申请日:2020-06-13

    Abstract: The disclosure discloses a method for extracting a boundary of a thin-walled part with small curvature based on three-dimensional point cloud. The method includes: collecting point cloud data of a part to reduce density of the point cloud data, performing Euclidean cluster to divide into point cloud pieces, obtaining triangular mesh surfaces for each point cloud triangulation; extracting a boundary vertex of each triangular mesh surface to obtain a contour thereof, selecting a contour of the part among all contours; searching with each point on the contour as a center to form a three-dimensional boundary point cloud band; projecting the three-dimensional boundary point cloud band to a plane, orderly extracting two-dimensional boundary points within the plane, and arranging corresponding points in the three-dimensional boundary point cloud band according to an order of ordered boundary points within the plane to obtain ordered boundary points in the three-dimensional boundary point cloud band.

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