Volume 2, Issue 6 (Dec 2004)
DISTRIBUTED COMPUTING ISSUE
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DELTA: A VIRTUAL TRAINING ENVIRONMENT FOR MOUT
Principal Investigator: Zhou Suiping
 
E-mail:     asspzhou@ntu.edu.sg
Nowadays, Military Operations on Urbanized Terrains (MOUT), such as saving hostages held in a building of a city block, are getting more and more important. However, MOUT training is costly and restricted to the physical mock-ups of buildings and other urbanized terrains. Thanks to the advances of commercial game engines, high fidelity 3D models for MOUT can be easily built, which will greatly reduce the time and cost of constructing a synthetic training environment. Developers of the environments can now focus more on various tactics and human behavior models rather than on the 3D models and graphics. In this project, a synthetic training environment for special squad operations will be constructed using a commercial game engine. In the synthetic environment, the trainee (human player) will interact with various AI-driven bots, such as members of the squad, terrorists and civilians on the streets, etc. Building a synthetic training environment for MOUT is a challenging task. First, the AI-driven bots need to be able to show a certain level of human behavior, e.g. tactical terrain reasoning, fighting as team, etc. Second, to support the real-time requirement, the bots may need to be run on different machines, therefore, the communication between the bot clients and the game engine needs to be efficient. Third, to introduce some special weapons, various mutators and mods need to be designed to “crack” the game engine’s built-in physics and graphics models. As a preliminary result, we have implemented a demo system in which the AI-driven bots can collaborate with the human player and perform tactical path planning based on the bots’ perception of the on-going operation. “Building a synthetic training environment for MOUT is a challenging task.” Principal Investigator: Zhou Suiping E-mail: asspzhou@ntu.edu.sg A Synthetic Environment for MOUT (version 0.1)
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Dec2004

  • NANYANG CAMPUS GRID Accounting System
  • DESIGN OF A GRID-ENABLED LOW-COST SUPERCOMPUTER WITH MASSIVELY PARALLEL ACCELERATORS
  • MCCF: A Distributed Grid Job Workflow Execution Framework
  • AN INTEGRATED AND ADAPTIVE DECISION SUPPORT FRAMEWORK FOR HIGH-TECH MANUFACTURING AND SERVICE NETWORKS
  • DELTA: A VIRTUAL TRAINING ENVIRONMENT FOR MOUT
  • TIME-CONSTRAINED DATA BROADCAST SCHEDULING
  • COLLABORATIVE OFFICE DOCUMENT EDITING AND REVISION CONTROL
  • DS-Grid: Large Scale Distributed Simulation on the Grid
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