Fazina Kosser

Papers

Total Citations

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About

Dr. Fazina Kosser is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. Her primary contributions lie in developing robust control strategies for known environments, where she has proposed Simulink-based models integrating Pure Pursuit and path following controllers to ensure secure and optimal robot movement. Her most-cited paper, "Autonomous Robot Navigation in Known Environment" (2023), has garnered 3 citations, reflecting foundational interest in her practical, simulation-driven approach to solving core navigation challenges. While her citation count is modest, her work addresses a critical bottleneck in robotics—achieving reliable, collision-free paths in structured settings—which has direct applications in warehouse automation, service robotics, and industrial transport. Dr. Kosser’s research is particularly valuable for students and engineers seeking accessible, implementable solutions for real-world robot guidance, and her focus on Simulink modeling offers a bridge between theoretical control algorithms and practical deployment. As autonomous systems continue to evolve, her contributions provide a stepping stone for more complex, adaptive navigation in dynamic environments.