Zahra Shirmohammadi

Shahid Rajaee Teacher Training University

Papers

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About

Zahra Shirmohammadi is a researcher at the intersection of robotics, game theory, and computer vision. Her work focuses on solving coordination and perception challenges in multi-agent systems, particularly where human-like behavior or real-time adaptability is required. She has made notable contributions to biomimetic robotics, proposing novel game-theoretic algorithms to coordinate the movement of two separately controlled robotic eyes—addressing the longstanding challenge of selecting a "leader" eye for simultaneous, human-like motion. This work, published in 2019, has garnered 2 citations and lays foundational groundwork for expressive social robots. More recently, in 2024, Shirmohammadi introduced "Releaf," a real-time occlusion handling algorithm for multi-camera systems. By applying game theory to resolve visual obstructions, her method enables uninterrupted video streams in dynamic environments—a critical advancement for surveillance, autonomous navigation, and immersive telepresence. Though early in her career, Shirmohammadi’s innovative use of strategic decision-making frameworks to solve practical robotics and vision problems signals a promising trajectory. Her research offers valuable insights for students and engineers working on embodied AI, multi-camera networks, and human-robot interaction.