Method and system for identifying kinematic capabilities in virtual kinematic device

Systems and methods for identifying kinematic capabilities in a virtual kinematic device. Input data is received, where the input data includes data regarding a point cloud representation of a given virtual kinematic device. A kinematic analyzer is applied to the input data, where the kinematic analyzer is modeled with a function trained by an ML algorithm, and the kinematic analyzer generates output data. Output data is provided, where the output data includes data for associating a subset of points of the point cloud representation with a set of kinematic descriptors of the at least one link identified on the point cloud representation of the given virtual kinematic device. The identified at least one kinematic capability in the given virtual kinematic device is determined from the output data. 用于识别虚拟运动学装置中的运动学能力的系统和方法。接收输入数据，其中，输入数据包括关于给定虚拟运动学装置的点云表示的数据。将运动学分析器应用于输入数据，其中，利用通过ML算法训练的函数对运动学分析器进行建模，并且运动学分析器生成输出数据。提供输出数据，其中，输出数据包括用于将点云表示的点的子集与在给定虚拟运动学装置的点云表示上识别的至少一个连杆的一组运动学描述符相关联的数据。根据输出数据来确定给定虚拟运动学装置中的所识别的至少一