Abstract: In various examples, incremental booting of functions for autonomous systems and applications is described herein. Systems and methods are disclosed that boot functions of a machine using different phases in order to more quickly provide at least a portion of the functions without compromising the safety of the machine. For example, during a first phase, resources associated with the machine may be allocated while the functions are initialized. Additionally, at least a first portion of the functions, such as functions that do not compromise the safety of the machine if errors occur, may be made available for use by one or more users of the machine. Next, during a second phase, at least a second portion of the functions, such as functions that may compromise the safety of the machine if errors occur, may be made available for use by the user(s) of the machine.

Abstract: In various examples, incremental booting of functions for autonomous systems and applications is described herein. Systems and methods are disclosed that boot functions of a machine using different phases in order to more quickly provide at least a portion of the functions without compromising the safety of the machine. For example, during a first phase, resources associated with the machine may be allocated while the functions are initialized. Additionally, at least a first portion of the functions, such as functions that do not compromise the safety of the machine if errors occur, may be made available for use by one or more users of the machine. Next, during a second phase, at least a second portion of the functions, such as functions that may compromise the safety of the machine if errors occur, may be made available for use by the user(s) of the machine.

Abstract: Embodiments of the present disclosure may relate to a method of generating a model of a system (e.g., a computing system), where the model may include one or more of a structural or architectural model and a behavioral or dynamic model. In some embodiments, the method may include obtaining data that may indicate one or more elements associated with functionality of a system (e.g., one or more software elements and/or hardware components). In some embodiments, the method may additionally include determining one or more operational dependencies corresponding to the one or more elements associated with the functionality of the system. Further, the method may include generating a model of the system based at least on the obtained data, the one or more elements, and the determined operational dependencies.

Abstract: In various examples, incremental booting of functions for autonomous systems and applications is described herein. Systems and methods are disclosed that boot functions of a machine using different phases in order to more quickly provide at least a portion of the functions without compromising the safety of the machine. For example, during a first phase, resources associated with the machine may be allocated while the functions are initialized. Additionally, at least a first portion of the functions, such as functions that do not compromise the safety of the machine if errors occur, may be made available for use by one or more users of the machine. Next, during a second phase, at least a second portion of the functions, such as functions that may compromise the safety of the machine if errors occur, may be made available for use by the user(s) of the machine.

Abstract: Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.

Abstract: Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.

Abstract: Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.

Abstract: Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.

Abstract: Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.