Robust Analytics proposes a suite of near-term technologies that can support managing multiple autonomous or semi-autonomous aircraft including Unmanned Aerial Systems (UAS) and Urban Air Mobility (UAM) vehicles simultaneously. Our approach builds off the existing knowledge base of airline operations, leveraging emerging technologies that enable autonomous flight.
Our approach enables monitoring of vehicles systems and data, coupled with auto-upload of dynamic flight data required to support safe and efficient flight operation (e.g., change in flight plan, evolutionary new destinations, etc.). We build on our expertise in airline dispatch and software applications for air-ground integration.
Our system adds to existing tools and software, providing an evolutionary pathway for the monitoring and control of multiple semi-autonomous and autonomous flights by a single operator. We propose and develop new functionality to accelerate this transition. Our vision aims to extend and enhance our current expertise to transition the functions of today’s airline dispatchers to future airspace and vehicle concepts.
Our research will support several NASA projects and milestones. For In-time system-wide safety assurance, we offer a design and prototype that could support a safe transition to autonomous operations. For ATM-X and urban air mobility, we define the ground-based capabilities required for managing unpiloted fleets and offer NASA a technology solution to air-ground integration to support monitoring and control. Our prototype would be available to support ISSA and UAM demonstrations during a Phase II period of performance.
DOCAF will benefit the developers and future operators of new urban air mobility and package delivery services by meeting the need for a ground-based operational control system. Our Phase II supports early deployment of those new services by defining the ground-based capabilities they require and by offering a technology solution to air-ground integration to support monitoring and control.