This paper describes the current status and next steps of the Rapid Integration & Development Environment (RIDE). RIDE is a foundational R&D platform that unites many Department of Defense (DoD) and Army simulation efforts in order to deliver an accelerated development foundation and prototyping sandbox that provides direct benefit to the U.S. Army’s Synthetic Training Environment (STE) as well as the larger DoD and Army simulation communities. RIDE integrates a range of capabilities, including One World Terrain, Non-Player Character AI behaviors, xAPI logging, multiplayer networking, scenario creation, destructibility, machine learning approaches, and multi-platform support. It leverages robust game engine technology while designed to be agnostic to any specific game or simulation engine. RIDE is freely available through Government Purpose Rights with the aim of lowering the barrier to entry for research and development efforts within the simulation community, in particular for training, analysis, exploration, and prototyping. This paper provides lessons learned in developing this R&D sandbox, use cases that highlight how RIDE is currently being used in the broader S&T community, and an overview of next steps.

Keywords
AGENT-BASED SIMULATION,AI,MACHINE LEARNING,PROTOTYPING,RAPID MODELING,SIMULATIONS,TRAINING

Additional Keywords