Developing Resilient Extra-Terrestrial Habitats is a complex task. That's why we are tackling the issue in three research thrusts:
We will develop the techniques needed to establish a control-theoretic paradigm for resilience, and the computational capabilities needed to capture complex behaviors and perform trade studies to weigh different choices regarding habitat architecture and onboard decisions.
We will develop and validate generic, robust, and scalable methods for detection and diagnosis of anticipated and unanticipated faults that incorporates an automated active learning framework with robots- and humans-in-the-loop.
We will develop and demonstrate the technologies needed to realize teams of independent autonomous robots, incorporating the use of soft materials, that navigate through dynamic environments, use a variety of modular sensors and end-effectors for specific needs, and perform tasks such as collaboratively replacing damaged structural elements using deployable modular hardware.