Our research designs new capabilities for collaborative robotic teams by integrating trust, cooperation, and competition. By exploring the nuances in interaction we enable richer control policies with proven performance guarantees for fast and decentralized decision-making. Our vision is to create teams of capable, collaborative robots that adapt to unknown agents and environments by engineering group autonomy. We do this by combining tools from social psychology, behavioral decision theory, nonlinear control, and game theory.

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