Benned Hedegaard is a Brown CS PhD student and graduate research assistant specializing in human-robot language interaction with eight years of hands-on experience across robotics, semantics, and teaching. His published work as first author (IROS 2021) on the Efficiently Adaptive State Lattice demonstrates a practical knack for efficient robot trajectory planning, and his later undergraduate research explored semantic annotation for faster language grounding. He has a strong instructional background—TAing courses from AI to Data Structures and leading peer workshops—which complements his research by honing his ability to communicate technical ideas clearly. Based in Providence, he combines rigorous academic training with applied robotics systems experience and a proven track record of turning semantic insights into efficient inference mechanisms.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Brown University
Bachelor of Science - BS, Bachelor of Science - BS at University of Rochester
Contributions:1 review, 25 commits, 2 PRs in 1 year 2 months
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