Outcomes from the First Wingman Software in the Loop Integration Event: January 2017

Abstract

During 27-29 January 2017, the US Army Research Laboratory (ARL) hosted a software integration event to build a working software-in-the-loop (SIL) simulation environment in support of the US Army Tank Automotive Research Development and Engineering Center Wingman program. Wingman focuses on human-machine collaboration, decision making, human-machine combat teaming, and advanced manned-unmanned teaming operations. Its primary operational objective is to effectively project lethality for first contact with enemy forces, enabling friendly freedom of maneuver. Developing a joint SIL will allow for rapid prototyping, software development, and early assessment by joint services and team members. Developments in the SIL can be directly implemented on real-world vehicles. In addition, this SIL will also provide a simulation test bed for ARL to assess human interaction with manned-unmanned teams during periods without real-world field tests. Outcomes of joint research efforts will support the design of a robotic system user interface and enhance communication among manned-unmanned team members, which are critical to achieve Training and Doctrine Command 6 1 required capabilities for robotics and autonomous systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 28, 2017
Accession Number
AD1036567

Entities

People

  • Anthony Zimmermann
  • E. R. Pursel
  • Eduardo Cerame
  • Keith Briggs
  • Kristin E. Schaefer
  • Ralph W. Brewer

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Autonomous Navigation
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Computers
  • Control Systems
  • Engineering
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Machine Interfaces
  • Network Protocols
  • Operating Systems
  • Robotics
  • Systems Engineering
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • User Interface

Fields of Study

  • Computer science

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs