procurement or sustainment, given current funding constraints. There do exist several lower-end solutions; while affordable, these systems lack the adaptive and group behaviors, as well as the required sensor arrays, needed to stimulate reactive behaviors. A great but unaffordable solution is about as meaningless as an affordable solution that does not provide adequate training.
Therefore, the solution will have to strike a balance capturing most of the adaptive functionalities at a low per-unit cost. This optimal autonomous target system would provide an abstraction of real-time control functions to a centralized processor, a simplistic real-time radio control motor, and a simple array of hit/miss detection and obstacle avoidance sensors.
STATIC TARGETS
An autonomous live fire target system would provide Soldiers with more realistic training in open-air conditions, and the unpredictability of the target system would drive more adaptive learning. Here, a Soldier conducts marksmanship training with static distance targets at Fort Eustis, VA. (U.S. Army photo by James Todd, Program Executive Office Simulation, Training, and Instrumentation)
TargetMod@us.army.mil.
Systems Engineer for the Target Modern- Training Devices (PM TRADE) of the Pro- - ing from the University of Central Florida.
JAMES TODD is the Lead Systems Engi- neer and Architect for the Future Army the Live Training Transformation Product Line. He is also Project Director for PM Todd holds a B.S in mechanical engineer- ing from the University of New Orleans and an M.S. in industrial engineering from Texas A&M University.
ASC.ARMY.MIL 99
considered with the optimal solution, as well as the existing systems, will be related to radio frequency allocation and bandwidth use for real-time control of the targets; this challenge will only intensify as the number of deployed autonomous target systems increases.
CONCLUSION
A truly autonomous target system would allow for scaled training events, tak- ing into account individual differences in learning style, experience, knowl- edge, skills, and readiness in a small-unit environment while providing accurate, realistic feedback through movements, representation, and engagement behav- ior (acting and reacting based on trainees’ actions). The autonomous target system would also provide dynamic, nonlinear,
and asymmetric training, resulting in a higher level of preparedness, readiness, and survivability.
Overall, the autonomous target system would provide Soldiers with more realistic and the unpredictability of the target system would drive more adaptive would result in new and fresh objectives for individuals and teams. These events also would support enhanced after- action reviews and reporting by proving a training system.
To prepare for dynamic and nonlinear con- ditions, Soldiers must have dynamic and nonlinear training. Autonomous target systems would provide the “good” training
SCIENCE & TECHNOLOGY
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