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Cross-Disciplinary Experimentation
Cross-
Adaptive and Resilient Behaviors
This research area will enable robustness and adaptation of perception, inference, and machine learning modalities to changing conditions and adversarial inputs, and adaptive behaviors that mitigate growing uncertainty in the heterogeneous models. Ultimately, constrained by the limited resources at the individual level, we will develop macro-scale cooperation and situational awareness in optempo missions with resilience to agent failures, network disruption, data loss, and/or compromised communications.
Heterogeneous Group Control
This research area addresses modeling of heterogeneous teams of humans, robots, sensors, tactical supercomputers, and tactical clouds that can be formed based on the context and the task. We will develop models of interactions between humans and other agents, and pursue formal approaches to composition of controllers, estimators and planners to design architectures and synthesize group behaviors.
Distributed Intelligence
This research area focuses on contextual abstractions to learn perception-action-
The United States Army Research Laboratory has awarded the University of Pennsylvania’s School of Engineering and Applied Science a five-year, $27 million grant to develop new methods of creating autonomous, intelligent, and resilient teams of robots.
These teams, consisting of multiple different types of robots and sensors with varying abilities, are designed to assist humans in a wide range of missions in dynamically changing, harsh and contested environments. These include search and rescue of hostages, information gathering after terrorist attacks or natural disasters, and humanitarian missions.