Unmanned Aircraft Systems Universal Products

Abstract

This funding line directly aligns to the Future Vertical Lift (FVL) portfolio. Scalable Control Interface (SCI) will be the primary means of Command and Control (C2) for Future Unmanned Aircraft Systems (FUAS), to include Air Launched Effects (ALE), Future Tactical UAS (FTUAS) and optionally manned rotary wing aircraft. Mission Command devices in both ground and airborne platforms will host SCI software, serving as nodes on the Integrated Tactical Network to retrieve and provide data. SCI distributes UAS capabilities by greatly increasing the number of UAS control devices available to Soldiers, Commanders, and Battle Staff. SCI provides simultaneous employment of multiple aircraft/payloads from a single control node. SCI leverages a Modular Open System Approach (MOSA) to software in order to reduce time and cost to integrate new hardware and software in response to the dynamic future operating environment. Deployment of SCI will include, but is not limited to, devices in the Mobile/Handheld Computing Environment (such as Nett Warrior) and Mounted Computing Environment (such as MFoCS [Mounted Family of Computer Systems]), and Command Post Computing Environment (such as TSI [Tactical Server Infrastructure). SCI will integrate decision aiding, autonomy, and artificial intelligence as they mature technically, in order to support MDO and reduce cognitive workload. Justification: Fiscal Year (FY) 2023 SCI (Universal Products) Base funding of $0.512 million will continue the development, testing, and integration of software applications needed to address the SCI requirements that support Nett Warrior, Mounted Family of Computer Systems (MFoCS), and Tactical Server Infrastructure (TSI).

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Document Details

Document Type
Project
Publication Date
Oct 01, 2023
Source ID
EX1_0607143A_7_2040_PB_2023

Tags

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neurotrauma and Rehabilitation Medicine.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control

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