Shaghayegh Nazari

K.N.Toosi University of Technology, TU Dortmund University, Intel (United States)

Papers

Total Citations

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About

Shaghayegh Nazari’s research lies at the intersection of autonomous mobile robotics and human-robot interaction, with a focus on enabling robots to navigate and operate intelligently in complex, dynamic environments. Her most influential work, “Histogram based frontier exploration” (2011), has garnered 44 citations and introduces a novel method for autonomous exploration. By directing a robot toward the boundaries between known free space and unknown areas on a global occupancy grid, this approach allows robots to efficiently map and explore unfamiliar environments—a fundamental challenge in field robotics. Nazari has also advanced robust control strategies for mobile robots. Her 2018 paper on Nonlinear Model Predictive Control (NMPC) schemes addresses the critical problem of navigating amidst dynamic obstacles, a key requirement for real-world applications from service robots to planetary rovers. Additionally, her work extends into assistive robotics, where she investigates optimal handover configurations to make object transfer more intuitive and comfortable for human users. Through these contributions, Nazari has helped bridge the gap between theoretical control and practical, human-aware robot behavior, establishing herself as a researcher dedicated to making autonomous systems both safer and more socially adept.