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Keenan Albee is an Assistant Professor in the Department of Astronautical Engineering at the University of Southern California. His research focuses on developing algorithms for mobile robots that operate in dynamic and challenging environments. He has worked extensively on adaptive decision-making in the presence of uncertainty, utilizing control theory, reinforcement learning, and stochastic modeling. His work emphasizes the practical application of theory, contributing to advancements in robotic operations that have been validated in real-world scenarios, including missions to the International Space Station and upcoming lunar explorations. His current research interests include enhancing the safety of robotics in uncertain environments, improving planning and control methods with learning-based tools, and exploring autonomy frameworks for extreme robotics applications.
Requires general GRE for all graduate degrees.