Abstract: A method and apparatus for position alignment of a robotic arm, which includes determining initial position information of a target plane targeted by the robotic arm, where the initial position information includes a unit normal vector of the target plane and a preset projection point; controlling the robotic arm to move according to the initial position information of the target plane; acquiring current coordinates of a terminal plane of the robotic arm, and determining a target projection point on the terminal plane and a target normal vector according to the current coordinates; determining a displacement between the terminal plane and the target plane according to the target projection point on the terminal plane and the target normal vector as well as the unit normal vector of the target plane and the preset projection point; and correcting the initial position information of the target plane through the displacement.

Abstract: A method and apparatus for position alignment of a robotic arm, which includes determining initial position information of a target plane targeted by the robotic arm, where the initial position information includes a unit normal vector of the target plane and a preset projection point; controlling the robotic arm to move according to the initial position information of the target plane; acquiring current coordinates of a terminal plane of the robotic arm, and determining a target projection point on the terminal plane and a target normal vector according to the current coordinates; determining a displacement between the terminal plane and the target plane according to the target projection point on the terminal plane and the target normal vector as well as the unit normal vector of the target plane and the preset projection point; and correcting the initial position information of the target plane through the displacement.

Abstract: The disclosed method includes acquiring sample models and marking sample feature points; selecting target feature points and regional points on bones; transforming the target feature points and the regional points, and registering the target feature points with the sample feature points; formulating a strategy for assigning impact factors to the sample models, linearly combining all sample models to construct an initial model, and determining initial feature points corresponding to the target feature points in the initial model; adjusting the strategy according to the distance between initial feature points and the target feature points, selecting the strategy corresponding to the minimum distance as an optimal strategy, and determining an optimal initial model; determining a matching point corresponding to each regional point in the optimal initial model, and calculating a transformation relationship; and transmitting all points of the optimal initial model according to the transformation relationship to obt

Abstract: The disclosed method includes acquiring sample models and marking sample feature points; selecting target feature points and regional points on bones; transforming the target feature points and the regional points, and registering the target feature points with the sample feature points; formulating a strategy for assigning impact factors to the sample models, linearly combining all sample models to construct an initial model, and determining initial feature points corresponding to the target feature points in the initial model; adjusting the strategy according to the distance between initial feature points and the target feature points, selecting the strategy corresponding to the minimum distance as an optimal strategy, and determining an optimal initial model; determining a matching point corresponding to each regional point in the optimal initial model, and calculating a transformation relationship; and transmitting all points of the optimal initial model according to the transformation relationship to obt