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generally. We tackle problems in single and multi-agent systems operating in uncertain environments and around humans. We typically work with Markov decision processes (MDPs), and are interested in both
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of communication, sensing, control, and decision-making mechanisms to enable efficient, reliable, and intelligent robotic operations in dynamic and uncertain environments. Depending on the candidate’s
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software that allow time-evolving models of complex systems to be calibrated against sparse, indirect, and uncertain observations. The group develops and maintains an open-source Python framework
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operations in dynamic and uncertain environments. Depending on the candidate’s expertise, the work may involve wireless communications, multi-robot coordination, trajectory planning, artificial intelligence