Command and Control Collaboration Sand Table (C2-CST) A Navy Innovative Science and Engineering (NISE) Microfund Project
Abstract
A prototype of a Command and Control Collaborative Sand Table (C2-CST) examined a new human-machine interface for collaboration at various classification levels. This interface was connected to an Autonomy Research Pilot Initiative (ARPI) system that demonstrated tactical decision making, mission management, and control with key elements for enabling heterogeneous unmanned vehicle (UxV) teams to successfully manage the fog of war with its inherent complex, ambiguous, and time-challenged conditions from a supervisory control and the machine learning point of view. The C2-CST system interacts with this connected system via an augmented reality device platform. The goal was to allow human-to-human-to-machine collaboration for situational awareness, decision making, and C2 planning and execution of simulated multi-unmanned heterogeneous autonomous vehicles. The advanced user interface allowed multiple operators to collaborate across a shared holographic sand table (terrain model used for military planning and wargaming), while controlling several unmanned vehicles. An additional concept of pseudo-classified information filtering was examined.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2021
- Accession Number
- AD1120717
Entities
People
- Allen Qiu
- Bryan L. Croft
- Crisrael M. Lucero
- David Nuernberger
- Eric A. Gustafson
- Fred W. Greene
- Roni A. Higgins
Organizations
- Naval Information Warfare Center Pacific