This research area focuses on contextual abstractions to learn perception-action-communication loops for distributed intelligence, and collaborative, distributed inferencing and decision making algorithms. We will develop learning algorithms that are modular and composable, and algorithms that can adapt to available resources to enable scalability to large heterogeneous groups with human actors.
