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About

Reuth Mirsky is a robotics and human-robot interaction researcher whose work sits at the intersection of social robot navigation, human-robot teaming, and interactive robot learning. She has made substantial contributions to how autonomous robots move through and communicate within human-populated environments, most notably through her influential 2024 paper establishing evaluation principles and guidelines for social robot navigation algorithms, which has already garnered 59 citations and is widely regarded as a foundational framework for the field. Her surveys on conflict avoidance and prevention in social navigation—spanning multiple years—have helped consolidate a rapidly expanding research area, while her earlier work on human-inspired navigational signals demonstrates a consistent commitment to making robot behavior legible and intuitive to people. Beyond navigation, Mirsky investigates human-exoskeleton interaction, developing metrics and curriculum-based approaches to support motor skill acquisition and rehabilitation. Her research on incidental human-robot encounters and the costs of interruption in human-robot teaming reflects a broader ambition to understand the social and psychological dimensions of real-world robot deployment. Across more than a decade of work, Mirsky has emerged as a versatile and impactful voice in designing robots that collaborate meaningfully and safely alongside people.