Saba Emrani

Papers

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About

Dr. Saba Emrani’s research lies at the intersection of robotics, autonomous systems, and adaptive control, with a particular focus on multi-agent coordination and neural network-based intelligence. Her most influential work, “Coverage control in unknown environments using neural networks” (23 citations), introduces a groundbreaking distributed control algorithm that enables mobile sensing robots to efficiently cover unfamiliar terrain. Unlike prior adaptive methods, Dr. Emrani’s approach leverages online neural network estimation of the environment’s sensory function, allowing robots to dynamically adjust their coverage without prior knowledge—a significant leap for autonomous exploration and surveillance. She also advanced underwater robotics with her study on leader-follower formation control for multiple Autonomous Underwater Vehicles (AUVs) in spatial motions (7 citations), deriving robust controllers that ensure follower AUVs maintain precise formations relative to a leader’s trajectory. This work addresses critical challenges in underwater navigation and cooperative missions. Dr. Emrani’s contributions, though modest in citation counts, are foundational for adaptive multi-robot systems, demonstrating how neural networks can empower real-time decision-making in unknown environments. Her research continues to inspire students and engineers working on autonomous sensing, formation control, and intelligent robotics.