OBJECT-AGNOSTIC FAST GRASPING-POINTS ESTIMATION VIA GEOMETRIC-ALGEBRA

    公开(公告)号:US20240416510A1

    公开(公告)日:2024-12-19

    申请号:US18203097

    申请日:2023-05-30

    Abstract: Various aspects of techniques, systems, and use cases for selecting grasping configurations for a robot are disclosed. Geometric primitives are generated to model the robot for grasping and manipulation by the robot. The geometric primitives are combined using various functions to determine which configuration to use. The instantaneous configuration is determined, as well as the forward kinematics and links to determine active geometric primitives of the gripper. The active geometric primitives are used to approximate an x, y, and z coordinate of each point of the primitives, a distance between the point and a grasping target, and an associated surface link. The configurations are ranked based on grasping metrics and one of the configurations selected to use accordingly.

    Obstacle localization based on probabilistic consensus

    公开(公告)号:US11386777B2

    公开(公告)日:2022-07-12

    申请号:US16237919

    申请日:2019-01-02

    Abstract: Various systems and methods for updating a current probability density function. The PDF includes a list of objects within a location. First information is received from a first remote device at a first position within the location. The first information includes a vehicle identification, a first PDF of the objects. Second information is received from a second remote device at a second position within the location. The second information includes a vehicle identification, a second PDF of the objects. A first rank for the first PDF is determined based on locations of the objects in the first PDF compared to locations of the objects in the current PDF. A second rank for the second PDF is determined. The first PDF and the second PDF are combined using the first rank and the second rank into a combined PDF. The current PDF based on the combined PDF.

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