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Keenan Albee is an Assistant Professor in the Department of Astronautical Engineering at the University of Southern California. He completed his Doctoral Degree in Aeronautics and Astronautics with a focus on Autonomous Systems at the Massachusetts Institute of Technology in 2022. Prior to that, he earned both a Master's Degree and Bachelor's Degree in Aeronautics and Astronautics, and Mechanical Engineering respectively. His research interests are centered on developing increasingly capable algorithms for dynamic mobile robots. This includes methods for adaptive decision-making in uncertain environments, drawing on control theory and reinforcement learning. He aims to enhance the safety and efficiency of robotic operations, particularly where human intervention becomes dangerous or impractical. His work has applications in robotics for challenging environments, including missions related to the International Space Station and lunar exploration. Albee's current research also emphasizes the incorporation of learning-based tools into robotic planning and control systems, ensuring robustness in uncertain dynamical systems. He actively engages in studies related to perception, localization, and information gain in robotic planning, contributing to advancements in autonomy frameworks for extreme environments.
Requires general GRE for all graduate degrees.