Graduate Student Researcher at the Perceptual Robotics Laboratory and the ROAHM Lab
My research interests are focused on perception, navigation, planning, and state-estimation for mobile field robotic systems. Specifically, I'm interested in developing efficient algorithms and systems that apply theory from the fields of sensor-fusion, machine learning, graph theory, and convex optimization in ways that provide mathematical guarantees so that autonomous systems can be trusted in real-world environments. I am especially interested in applying these techniques to the development of autonomous underwater vehicle systems, self-driving cars, and autonomous heterogeneous multi-agent systems.
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