Maryam S. Rasoulidanesh

Papers

Total Citations

H-Index

About

Maryam S. Rasoulidanesh’s research lies at the intersection of multi-robot systems, sensor networks, and cooperative control, with a particular emphasis on distributed localization and target tracking. Her most-cited work, "Distributed robots localization and cooperative target tracking" (2017), addresses a fundamental challenge in robotics: enabling a heterogeneous team of mobile and stationary sensors to collaboratively determine their relative poses while simultaneously estimating the positions of moving targets. This contribution is critical for applications such as search-and-rescue, environmental monitoring, and autonomous surveillance, where robust, decentralized coordination is essential. Though her citation count is modest, the work demonstrates a strong foundation in algorithmic design for multi-agent systems. Rasoulidanesh’s research contributes to the broader goal of scalable, resilient robotic networks, offering practical solutions for real-world deployment. Her focus on cooperative localization and tracking highlights her commitment to advancing autonomous systems that can operate effectively without centralized control, making her work a valuable reference for students and researchers exploring distributed robotics and sensor fusion.