Systems And Methods For Determining Digital Model Positioning For Grasping

    公开(公告)号:US20200349300A1

    公开(公告)日:2020-11-05

    申请号:US16864590

    申请日:2020-05-01

    Abstract: Embodiments determine positioning of a mannequin. One such embodiment begins by determining a frame of a grasping element of a mannequin represented by a computer-aided design (CAD) model and determining a frame of an object to be grasped, where is object is also represented by a CAD model. To continue, degrees of freedom of the mannequin are specified and limits on the specified degrees of freedom are set. In turn, using an inverse kinematic solver, positioning of the mannequin grasping the object is determined based upon: (i) the determined frame of the grasping element, (ii) the determined frame of the object, (iii) the specified degrees of freedom, and (iv) the set limits on the specified degrees of freedom.

    Method and System of Constraint-Based Optimization of Digital Human Upper Limb Models

    公开(公告)号:US20170169138A1

    公开(公告)日:2017-06-15

    申请号:US14963679

    申请日:2015-12-09

    CPC classification number: G06F17/5009 G16H50/50

    Abstract: An upper limb model of a virtual manikin includes a data conversion engine configured to produce converted data based on one or more data sets. Each data set represents dependencies between elements of the kinematic model. The upper limb model further includes a kinematic chain model configured to generate one or more constraints based on the converted data. The upper limb model also includes a posturing engine configured to determine, based on the one or more constraints, a trajectory from a first position to a second position. The kinematic model may further include a rendering engine configured to render a posture corresponding to the second posture. The elements of the kinematic model may include one or more of a clavicle, a scapula, a humerus, a forearm and a hand.

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