Researchers at the Robotics and Data Laboratory (RADLab) work on problems centered around optimal, multi-dimensional, data-driven decision making for systems involving multiple aerial, terrestrial, underwater, and manipulator robots. Techniques from mathematical programming, linear and nonlinear systems theory, statistics, and machine learning are leveraged to create theoretical frameworks and associated real-time embedded systems to solve these problems.
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