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About

Nathan Tsoi is a robotics researcher whose work sits at the intersection of human-robot interaction (HRI), social robot navigation, and robot ethics. His most influential contribution is the development of SEAN (Social Environment for Autonomous Navigation) and its successor SEAN 2.0, open-source platforms that formalize and benchmark social navigation policies across diverse human contexts — work that has collectively accumulated nearly 80 citations and helped standardize a fragmented research landscape. Tsoi has also made significant strides in evaluation methodology, with his principles and guidelines for assessing social navigation algorithms (59+ citations) providing the field with much-needed rigor and fairness criteria. Beyond navigation, his research explores the human side of robotics: a widely cited 2020 study (67 citations) demonstrated that robots can elicit prosocial protective behavior from humans, opening new avenues for robot design and ethics. His deep learning work on conversational group detection (DANTE, 39 citations) further extends robots' social awareness in crowded environments. Practical deployment is equally central to his portfolio, evidenced by VectorConnect, a teleoperation system developed during the COVID-19 pandemic to support isolated children. Tsoi's research consistently bridges algorithmic innovation with real-world human impact.