Nedasadat Taheri

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About

Nedasadat Taheri is a robotics researcher whose work lies at the intersection of multi-agent path planning, computational geometry, and human-robot interaction. Her research focuses on developing efficient algorithms for coordinating teams of robots in constrained environments, with particular emphasis on minimizing energy consumption and path complexity. In her highly cited 2023 paper, "Efficiently Guiding K-Robots Along Pathways with Minimal Turns" (10 citations), Taheri introduced novel approaches for navigating protector robots along orthogonal watchman routes—paths that ensure complete visibility coverage while dramatically reducing the number of directional changes. This work has significant implications for surveillance and security applications where battery conservation and smooth movement are critical. More recently, Taheri has pioneered the emerging field of stealth robotics with her 2023 paper "Concealing Robots in Environments: Enhancing Navigation and Privacy through Stealth Integration" (4 citations), addressing the psychological discomfort humans experience around robots in public spaces. By developing navigation strategies that allow robots to operate unobtrusively, she bridges the gap between technical efficiency and social acceptance. Her contributions represent an important step toward creating robots that are not only functionally effective but also socially integrated, making her work essential reading for researchers in autonomous systems and human-robot coexistence.