Aspects of the present disclosure involve systems, methods, computer program products for customized arthroplasty cutting guides or jigs. In particular, the present disclosure provides for a method of creating a customized arthroplasty cutting jig from one or more two-dimensional (2D) images of the patient's joint. The method includes receiving the 2D images of the joint from an imaging device, reformatting the images, and creating a customized jig template from the images. One or more landmarks are electronically marked on one or more of the series of 2D images of the patient's joint through a computing device. Once the template for the cutting jig is created utilizing one or more of the electronic markers on the 2D images, a cutting or milling program is generated by the computing device that may then be provided to a milling machine to create the cutting jig corresponding to the milling program.

Three-dimensional visual servoing for positioning a robot in an environment is facilitated. Three-dimensional point cloud data of a scene of the environment is obtained, the scene including a feature. The three-dimensional point cloud data is converted into a two-dimensional image, and a three-dimensional position of the feature is identified based on the two-dimensional image. An indication of the identified three-dimensional position of the feature is then provided.

Three-dimensional visual servoing for positioning a robot in an environment is facilitated. Three-dimensional point cloud data of a scene of the environment is obtained, the scene including a feature. The three-dimensional point cloud data is converted into a two-dimensional image, and a three-dimensional position of the feature is identified based on the two-dimensional image. An indication of the identified three-dimensional position of the feature is then provided.

A method for steady-state control of cutting state, implemented based on computer numerical control (CNC) machine tools or cutting lathes. The method comprises: fitting parameters of a stored energy evolution model of a workpiece material to be machined; discretizing primary shear zone into multiple infinitesimals along normal direction of main shear plane; introducing equivalent cutting edge model, inputting pre-used cutting parameters, calculating strain and strain rate of each infinitesimal and analyzing temperature of each infinitesimal; deducing and solving differential equation of each infinitesimal of stored energy to position of the primary shear zone by taking initial shear plane of the primary shear zone as model boundary; determining application values of cutting parameters according to solved results; and, controlling and adjusting the cutting tool in the actual cutting process to cut the workpiece material to be machined with the application values.