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About

Shelly Bagchi is a prominent researcher specializing in human-robot interaction (HRI), with a particular focus on developing standardized test methods, metrics, and evaluation frameworks that bridge the gap between theoretical research and real-world robotic applications. Working at the intersection of robotics, human factors, and measurement science, Bagchi has made significant contributions to the field of collaborative manufacturing, where humans and robots must work safely and effectively together. Bagchi's most influential work, "Towards Effective Interface Designs for Collaborative HRI in Manufacturing" (2020), has garnered over 110 citations and established a comprehensive framework for evaluating human-machine interfaces in industrial settings. Recognizing the fragmented, interdisciplinary nature of HRI research, Bagchi has been a driving force behind efforts to standardize metrics and methodologies, as evidenced by a widely read 2022 analysis of research trends across HRI conferences. A recurring theme throughout their career is improving replicability and rigor in human studies, culminating in proposals for standardized reporting formats that enhance scientific reproducibility. Bagchi has also organized multiple annual workshops dedicated to advancing HRI metrology and co-edited a special journal issue on human-robot teaming performance evaluations, demonstrating sustained leadership in shaping the methodological foundations of modern HRI research.