Human Team
Research on human teams focuses on understanding and improving collaborative performance, particularly in complex and dynamic environments. Current efforts involve developing AI agents capable of inferring human beliefs and intentions, designing fair resource allocation algorithms for human-robot teams, and creating robust learning frameworks for open ad hoc teamwork using techniques like graph neural networks and probabilistic graphical models. These advancements aim to enhance human-AI collaboration, improve team efficiency and safety in various domains (e.g., search and rescue, manufacturing), and provide insights into fundamental aspects of human group dynamics.
Papers
June 26, 2024
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October 19, 2023
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August 5, 2022