Synthetic Training Environment (STE) Technology
Abstract
This Project investigates and develops technologies supporting the Army's Synthetic Training Environment (STE) priority, a comprehensive live-virtual-constructive architecture that will enable Soldiers to train the spectrum of missions in virtual environments involving thousands of virtual combatants and miles of complex terrain including megacities. The STE will enable Army units and leaders to conduct realistic multi-echelon / Multi-Domain Operations, combined arms maneuver, and mission command training at the point of need anywhere in the world, increasing Soldier and Small Unit proficiency through repetition. Units can then master collective training tasks in the live environment. This Project investigates and designs STE enabling technologies to include networking of models representing complex human behavior, complex data interchange between simulations, synthetic natural environments, virtual representation of combined arms environments, adaptive tutoring for individuals and teams, and collaborative training. Project efforts include techniques and methods for integrating different sensory cues into virtual environments that result in enhanced training and leader development and the design of virtual humans utilizing Artificial Intelligence (AI) enabled attributes that embody natural language, speech recognition in noisy environments, gesture, gaze, and conversational speech and other complex human tasks. The Project leverages the capabilities of industry and the research and development community through the synthesis of creativity and technology, including work conducted at the Institute for Creative Technologies (ICT). The cited work is consistent with the Under Secretary of Defense for Research and Engineering priority focus areas and the Army Modernization Strategy. FY20 realignments are due to financial restructuring in support of Army Modernization Priorities. Work in this Project is performed by the United States Army Futures Command (AFC).
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2020
- Source ID
- BE8_0602143A_2_2040_PB_2020
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