A design application interacts with an end-user to generate design problem geometry that reflects a design problem to be solved. Various design objectives, design constraints, boundary conditions, and other design criteria may be associated with the design problem geometry via the design application. When the design problem is sufficiently well defined, a client-side solver generates a solution approximation using a coarse multi-objective solver. The client-side solver favors speed over accuracy, and so the solution approximation provides only a rough representation of various attributes of potentially feasible design solutions. Based on the solution approximation, the end-user may correct any omissions, mistakes, and so forth, before executing pay-per-service cloud-based parallel solver.

A surgical robotic system and method involve a manipulator including a plurality of links and joints and a tool coupled to the manipulator. Controller(s) generate a first tool path to remove a first portion of material from the bone and control the manipulator to position the tool for movement along the first tool path to remove the first portion. The controller(s) sense interaction between the tool and the bone during movement of the tool along the first tool path and generate a second tool path to remove a second portion of material from the bone. Generation of the second tool path is based, at least in part, on the sensed interaction between the tool and the bone during movement along the first tool path. The controller(s) control the manipulator to position the tool for movement along the second tool path to remove the second portion.

A design application includes a design engine and a tracking engine. The design engine allows end-users to create and modify a design space. The design space includes a spectrum of possible design options, as well as other information related to the process of creating designs. When changes are applied to the design space, the design engine transmits event data to the tracking engine that reflects those changes. The tracking engine, based on the event data, updates a design space timeline. The design space timeline illustrates the evolution of the design space over time.

A design application allows an end-user to define an engineering problem, and then synthesizes a spectrum of design options that solve the engineering problem. The design application then generates various tools to allow the end-user to explore that spectrum of design options. The design application allows the end-user to compare various attributes of each design option, and to filter the spectrum of design options based on those attributes. In response to end-user selections of certain design options, the design application identifies other similar design options, and then displays these design options to the end-user.

A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.

A surgical system and method involve a manipulator including a plurality of links and joints and a tool coupled to the manipulator. A navigation system includes a localizer, a first tracker coupled to the robotic manipulator or the tool, and a second tracker coupled to a workpiece. Controller(s) determine, from the navigation system, a pose of the tool relative to the workpiece. The controller(s) control the robotic manipulator to facilitate removal of a first portion from the workpiece with the tool and sense interaction between the tool and the workpiece during removal of the first portion to detect a density of the workpiece. The controller(s) control the robotic manipulator to facilitate removal of a second portion from the workpiece with the tool, wherein a cutting depth for the second portion is based, at least in part, on the detected density.

A design application generates a spectrum of design options that meet certain design criteria. Each design option may potentially be composed of a different type of material. The design application filters the spectrum of design options for presentation in a graphical user interface (GUI). The GUI illustrates different design options based on material of composition within a parallel axis plot that includes separate axes for different material attributes. The GUI also displays envelopes of design options for each different material or material type, where each envelope has a different color, pattern, opacity, or other visual attribute. A GUI engine dynamically updates the GUI to reflect constraints and other design criteria applied to the spectrum of design options.

Robotic systems and methods for robotic arthroplasty. The robotic system includes a machining station and a guidance station. The guidance station tracks movement of various objects in the operating room, such as a surgical tool, a humerus of a patient, and a scapula of the patient. The guidance station tracks these objects for purposes of controlling movement of the surgical tool relative to virtual cutting boundaries or other virtual objects associated with the humerus and scapula to facilitate preparation of bone to receive a shoulder implant system. The virtual objects are located based on density data of the bone such that, when one or more shoulder implants are fully seated in the bone, distal portions of the implants are located in a first region of the bone having a density characteristic greater than an adjacent second region of the bone.

A method of operating a robotic system to efficiently remove material from a workpiece based on a density distribution of the material of the workpiece. The density distribution of the material of the workpiece is determined from a three-dimensional representation and evaluated by classifying the plurality of points or voxels into a first density classification and a second density classification. A navigation computer generates a first tool path and a second tool path for the tool based on the evaluated density distribution. The first tool path is associated with the first density classification, and the second tool path is associated with the second density classification. The position of the tool relative to the workpiece is tracked with a navigation computer and controlled with a manipulator controller based on the generated tool path to remove material along the first tool path, and remove material along the second tool path.

Robotic systems and methods for controlling a tool to remove material from a workpiece. Workpieces such as bones are often non-homogenous and have varying density distributions throughout their volumes. In some embodiments, the systems and methods control the feed rate of the tool, the tool path of the tool, and the rotational speed of the tool based on the density distribution in order to provide a desired outcome for a surgical procedure.