Adaptive and Resilient Behaviors

We will develop methodologies that guarantee robustness to disturbances and threats,  and adaptation of perception, inference, and machine learning modalities to changing conditions and adversarial inputs, and resilience to failures of robots, network disruption, data loss, and/or compromised communications.

Heterogeneous Group Control

We will address modeling of heterogeneous teams of humans, robots, sensors, tactical supercomputers, and tactical clouds that can be formed based on the context and the specific task to be performed.

Abstract network of lines and dots, illustration

Distributed Intelligence

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 both humans and robots.