PITTSBURGH - OneSky Systems in Exton and Ansys in Canonsburg - both in Pennsylvania - announced that the companies are collaborating to progress autonomy in advanced air mobility (AAM) solutions. OneSky is providing its airspace technology integrated with Ansys' solutions to develop artificial intelligence (AI)-based software equipped with perception and decision-making software.
The collaboration enables OneSky and Ansys AAM customers to train and validate neural networks (NN) with simulation to reduce the risk, time, and costs associated with physical testing required for airworthiness certification. The software accelerates and enhances the development, validation, and certification processes of autonomous AAM transport systems.
As a developer of uncrewed traffic management (UTM) and testing in support of urban air mobility (UAM) platforms, OneSky combines its operations simulation and flight planning methodologies with Ansys' autonomy solution to strengthen the fidelity of its systems-level simulations. This integrated solution provides aircraft developers and suppliers solutions to help ensure unmanned aircraft systems (UAS) are safe, efficient, compliant, and scalable from one vehicle to a full fleet.
"The integrated Ansys and OneSky solutions provide customers with a vast and thorough digital simulation range where we can position systems, supporting infrastructures, and simulations in a safety-critical space to analyze before building prototypes or physically flying in the airspace," said Bob Hammett, CEO at OneSky. "By enabling customers to carefully develop, validate, and certify their AAM software, Ansys and OneSky are helping support hundreds of innovative organizations to safely adopt, manage, and operate autonomous UAS and AAM vehicles."
Leveraging Ansys' model-based environment and OneSky airspace modeling, customers can drive the analysis, development, and airworthiness certification of autonomous software for AAM applications. Combining high-fidelity simulation and digital mission engineering helps enable customers to develop and validate systems in action against mission and agency requirements. Digital mission engineering expands simulation from a static model to an interactive model of the operational environment, which is critical in accurately predicting and validating the behavior of autonomous systems.