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Explore how resource-rational approaches can enable widespread robot deployment in unstructured, human-centric environments through this 45-minute conference talk. Learn about metareasoning algorithms that help robots deliberate about what to learn and how to optimally allocate scarce resources like time and human assistance during deployment. Discover planning and reinforcement learning algorithms that leverage learned policies as informative priors to rapidly generalize to new tasks and environments. Understand the principles behind developing robots that can provably minimize the cost of data and computation while maintaining exceptional robustness, efficiency, and continual learning capabilities. Gain insights into manipulation techniques, human-robot teaming strategies, and multi-robot systems from research that has received recognition including an Outstanding HRI Paper Finalist Award at ICRA 2022 and a Spotlight presentation at ICLR 2025.
