Even as future robots grow in intelligence and autonomy, they may continue to face uncertainty in their decision making and sensing. A critical issue, then, is designing future robots so that humans can work with them collaboratively, thereby creating effective human-robot teams. Operators of robot systems can mitigate the problems of robot uncertainty by maintaining awareness of the relevant elements within the mission and their interrelationships, a cognitive state known as situation awareness (SA). However, as evidenced in other complex systems, such as aircraft, this is a difficult task for humans. In this paper, we consider how application of the science of human teaming, specifically task design and task interdependence in human teams, can be applied to human-robot teams and how it may improve human-robot interaction by maximizing situation awareness and performance of the human team member.