Smart Phrase Generator to Instruct Digital Manikin Action

    公开(公告)号:US20230169225A1

    公开(公告)日:2023-06-01

    申请号:US17456933

    申请日:2021-11-30

    CPC classification number: G06F30/20 G06F11/3457 G06F9/4881

    Abstract: Embodiments determine manikin posture for simulations of real-world environments. An embodiment automatically generates a phrase by performing a hierarchical analysis using data regarding the real-world environment. According to an embodiment, the generated phrase describes a task, to be simulated, performed by a manikin in an environment. In turn, one or more posture engine inputs are determined based on the generated phrase. The posture for the manikin in a simulation of the manikin performing the task in the environment is then automatically determined based on the determined one or more posture engine inputs.

    Grasp Planning Of Unknown Object For Digital Human Model

    公开(公告)号:US20230264349A1

    公开(公告)日:2023-08-24

    申请号:US18173172

    申请日:2023-02-23

    CPC classification number: B25J9/1612 B25J9/1607 B25J9/1671

    Abstract: An embodiment receives models of an object and an environment and an indication of position of a digital human model (DHM). An oriented bounding box (with a plurality of faces) surrounding the model of the object is determined and, for each of the plurality of faces, a candidate grasp location, a candidate grasp orientation, and a candidate grasp type is determined. From amongst the plurality of faces, one or more graspable faces is determined based on: the candidate grasp locations, the candidate grasp orientations, the environment model, and dimensions of each face. Then, an optimal graspable face is identified based on a hierarchy and the position of the DHM. An inverse kinematic solver determines position and orientation, i.e., grasp, of an end effector of the DHM grasping the object based on the candidate grasp location, candidate grasp orientation, and candidate grasp type of the optimal graspable face.

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