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About

Narges Noori is a robotics and autonomous systems researcher whose work spans environmental monitoring, pursuit-evasion theory, and mobile robot navigation. Her most significant contributions lie at the intersection of algorithmic robotics and real-world ecological applications, particularly in developing autonomous systems for tracking and detecting invasive species in natural habitats. Noori has pioneered field-deployable robotic solutions using teams of autonomous ground and surface vehicles equipped with radio-tracking capabilities, addressing fundamental challenges in search strategy design, target modeling, and obstacle navigation for robots operating in unstructured environments. Her 2016 work on environment exploration for habitat monitoring (17 citations) stands as her most influential contribution, demonstrating practical algorithms for sonar-guided navigation around unknown obstacles. Equally notable is her tutorial on pursuit-evasion games (13 citations), which helped make this mathematically rich framework more accessible to robotics practitioners by connecting it to search, tracking, and surveillance applications. Her research on probabilistic roadmap-based manipulation planning reflects an earlier foundation in motion planning theory. Collectively, Noori's work bridges theoretical robotics and applied conservation technology, making meaningful contributions to how autonomous robots can assist in wildlife monitoring and environmental stewardship.