NASA T3
Multiple-Vehicle m:N operational architectures promise to improve air transportation cost and scalability for Advanced Air Mobility (AAM) by enabling fewer human operators to manage increasingly autonomous vehicles. One way to grow this scalability potential is to strategically delegate or shift responsibility (tasks) that human operators hold to autonomous agents. It is, however, challenging to determine what responsibilities/tasks and how they should be handed off to automation across disparate scenarios due to a lack of research on understanding the inherent interdependence between the human and autonomous agents in m:M operations.
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