US Army Robotic Wingman Simulation: June 2018 Integration Workshop

Abstract

This work is in support of the US Army Robotic Wingman Joint Capabilities Technology Demonstration. The purpose of this report is to document current status and updates made to the US Army Robotic Wingman software-in-the-loop (SIL) simulation testbed. Specific updates to the SIL include updates to the real-world vehicle software components (Robotic Technology Kernel, Autonomous Remote Engagement System, and Warfighter Machine Interface displays) so that they match the current versions onboard the real-world vehicle. In addition, the SIL subsystems were updated to improve the parallelization of simulation elements, including vehicle physics, modeling, and image generation to improve real-time run capabilities (Autonomous Navigation and Virtual Environment Laboratory [ANVEL]). A client server architecture design was included through Unity3D to support the addition of a Long-Range Advanced Scout Surveillance System operator crewstation. Advancements were also made to improve the process for sharing terrain files between the ANVEL and Unity3D game engines; improve communication between the different subsystems, fix integration issues related to waypoint following, localization, and ARES Picatinny Lightweight Remote Weapon Station driver control; and add additional data collection-type features. Outcomes of this work will support the capability for rapid prototyping for autonomous mobility and lethality, system integration, human-in-the-loop evaluations, and training.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 23, 2018
Accession Number
AD1064385

Entities

People

  • Anthony Zimmermann
  • E. R. Pursel
  • Eduardo Cerame
  • Kristin E. Schaefer
  • Michelle Desormeaux
  • Ralph W. Brewer

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Autonomous Navigation
  • Autonomous Vehicles
  • Combat Vehicles
  • Command And Control
  • Computer Programs
  • Computers
  • Coordinate Systems
  • Department Of Defense
  • Detection
  • Detectors
  • Engineering
  • Graphical User Interface
  • Grids
  • Military Research
  • Navigation
  • Simulations
  • Software Development
  • Software Prototyping
  • Surface Warfare
  • Target Detection
  • Teamwork
  • Test And Evaluation
  • Training
  • Unmanned Systems
  • Unmanned Vehicles
  • Virtual Reality

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