Abstract: Systems and methods are provided that are configured to assist in the production of components. The systems include a producibility predictive model (PPM) and a generative design model (GDM) both executable on one or more processors of the system. The PPM is configured to receive a computer-generated three-dimensional (3D) component model representative of a component to be produced, and determine an estimated producibility of the component based on at least a geometry thereof. The estimated producibility is indicative of a difficultly of manufacturing that the component. The GDM is configured to determine a modification to the component to improve the producibility thereof, and generate a commented 3D component model representative of the component with an aspect thereof marked with a reference to the modification, and/or a modified 3D component model representative of a modified version of the component with an aspect thereof changed based on the modification.

Abstract: The present disclosure provides vehicle collision avoidance system (CAS) that includes a first CAS module for a robotic vehicle that includes an interface to a first network; a hard stop interface communicatively coupled to the robotic vehicle; one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the stored program instructions including instructions to: determine a relative position of a second CAS module based on information from the first network; responsive to determining that the second CAS module is within a first distance from the first CAS module, issue an alert; and responsive to determining that the second CAS module is within a second distance from the first CAS module, transmit a hard stop signal to the robotic vehicle.

Abstract: The present disclosure provides vehicle collision avoidance system (CAS) that includes a first CAS module for a robotic vehicle that includes an interface to a first network; a hard stop interface communicatively coupled to the robotic vehicle; one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the stored program instructions including instructions to: determine a relative position of a second CAS module based on information from the first network; responsive to determining that the second CAS module is within a first distance from the first CAS module, issue an alert; and responsive to determining that the second CAS module is within a second distance from the first CAS module, transmit a hard stop signal to the robotic vehicle.

Abstract: Systems and methods resolve stresses in additive manufacturing. A stress resolution profile including frequency and amplitude parameters of an ultrasonic input are determined based on physical properties of the product. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. An ultrasonic input is applied with the determined parameters to resolve stress as the product is built up. The ultrasonic input is varied as a depth of the material incorporated into the product increases.

Abstract: The present disclosure provides vehicle collision avoidance system (CAS) that includes a first CAS module for a robotic vehicle that includes an interface to a first network; a hard stop interface communicatively coupled to the robotic vehicle; one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the stored program instructions including instructions to: determine a relative position of a second CAS module based on information from the first network; responsive to determining that the second CAS module is within a first distance from the first CAS module, issue an alert; and responsive to determining that the second CAS module is within a second distance from the first CAS module, transmit a hard stop signal to the robotic vehicle.

Abstract: A system to track personnel includes an antenna array associated with a first node to communicate with a second node; and processor circuitry. The processor circuitry to: determine a plurality of positions of the second node; determine a distance between the first node and the second node; determine a bearing between the first node and at least one of the positions; and determine a direction for the first node based on the bearing.

Abstract: Systems and methods resolve stresses in additive manufacturing. A stress resolution profile including frequency and amplitude parameters of an ultrasonic input are determined based on physical properties of the product. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. An ultrasonic input is applied with the determined parameters to resolve stress as the product is built up. The ultrasonic input is varied as a depth of the material incorporated into the product increases.

Abstract: Prior to manufacturing a product by additive manufacturing, a stress relief profile including frequency and amplitude parameters of an ultrasonic input is determined based on physical properties of the product, including resonant frequencies of the product and a material from which the product is manufactured. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. A processor accesses stress relief profile parameters for each layer, determines whether a layer requires stress relief and determines a frequency and a power level for the stress relief at the layer. An ultrasonic input is applied with the determined parameters to relieve stress as the product is built up.

Abstract: Systems and methods resolve stresses in additive manufacturing. A stress resolution profile including frequency and amplitude parameters of an ultrasonic input are determined based on physical properties of the product. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. An ultrasonic input is applied with the determined parameters to resolve stress as the product is built up. The ultrasonic input is varied as a depth of the material incorporated into the product increases.

Abstract: A method for determining and optimizing manufacturing of an object by additive manufacturing. One or more computers access a three-dimensional digital model of the object and automatically generate a selected number of versions of supports for manufacture of the object. An image of the generated supports is displayed along with the object for visual perception by a user. The user visually observes the displayed versions of supports and object and uses the images to evaluate whether manufacturing the object by additive manufacturing is viable and whether the additive manufacturing supports are optimized. When viable, the object may be built by additive manufacturing using the optimized additive manufacturing supports to support the object.

Abstract: A method for determining and optimizing manufacturing of an object by additive manufacturing. One or more computers access a three-dimensional digital model of the object and automatically generate a selected number of versions of supports for manufacture of the object. An image of the generated supports is displayed along with the object for visual perception by a user. The user visually observes the displayed versions of supports and object and uses the images to evaluate whether manufacturing the object by additive manufacturing is viable and whether the additive manufacturing supports are optimized. When viable, the object may be built by additive manufacturing using the optimized additive manufacturing supports to support the object.