Modeling, simulation, and trade‐off analysis for multirobot, multioperator surveillance

As unmanned vehicles become smaller and more autonomous, it is becoming feasible to use them in large groups with comparatively few human operators. Design analysis of such distributed systems are complicated by the many interactions among agents phenomena behavior. In particular, susceptibility fatigue cognitive overload can introduce errors uncertainty into system. this paper, we demonstrate how advanced computational tools help overcome these engineering difficulties optimizing multirobot, multioperator surveillance for cost, speed, accuracy, stealth according diverse user preferences multiple case studies. The tool developed a graphical interface that returns optimal number mix agent types as function user's trade-off preferences. System performance prediction relies on multiagent simulation submodels operators, fixed-wing aerial (UAVs), quadrotor UAVs, flapping wing UAVs combined different numbers.