An Agent-Based Simulation Model of Human-Robot Team Performance in Military Environments
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Authors
Giachetti, Ronald E.
Marcelli, Veronica
Cifuentes, José
Rojas, José A.
Subjects
agent-based simulation
teams
military operations
shared mental model
system test and evaluation
teams
military operations
shared mental model
system test and evaluation
Advisors
Date of Issue
2012
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Abstract
Prior to deploying human-robot teams on military missions, system designers need to understand how
design decisions affect team performance. This paper describes a multiagent simulation model that
captures both team coordination and human-robot interaction. The purpose of the model is to evaluate
proposed team designs in uncertain Military Operations in Urban Terrain (MOUT) scenarios and determine
which design factors are most critical to team performance. The simulation model is intended to be a tool
in the systems engineering iterations of proposing designs, testing them, and then evaluating them during
the conceptual design phase. To illustrate the model’s usefulness for this purpose, a fractional factorial
design of experiments is conducted to evaluate team design factors and the two-factor interaction between
controllable factors and noise factors that described the environment and robot reliability. The experimental
results suggest that (1) larger teams have more robust performance over the noise factors, (2) robot
reliability is critical to the formation of human-robot teams, and (3) high centralization of decision-making
authority created communication bottlenecks at the commander in large teams. This work contributes to
the agent-based modeling of teams, and to understanding how the U.S. Army can attain its goal of greater
utilization of robots in future military operations.
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The article of record as published may be located at http://dx.doi.org/10.1002/sys.21216
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Contract grant sponsor: U.S. Army Research Laboratory through the University of Central Florida and was accomplished under Cooperative Agreement Number W911NF-06-2-0041.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.