Eveline Ecsedi

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About

Eveline Ecsedi is a robotics researcher whose work centers on autonomous navigation and embedded systems, with a particular focus on developing intelligent, real-world robotic solutions. Her most-cited contribution, "The Development of an Autonomous Maze Robot" (2019), has garnered 5 citations and stands as a foundational piece in her portfolio. In this work, Ecsedi details the design and implementation of a robot capable of navigating simple mazes using trajectory-maintenance algorithms, precise turn execution, and exit-finding strategies. The project demonstrates her ability to integrate hardware and software—from sensor-driven control to decision-making logic—to create a functional autonomous agent. Notably, Ecsedi’s approach emphasizes scalability; she explicitly outlines how the core platform can be expanded with additional functionalities, suggesting a modular design philosophy that encourages further innovation. This work has influenced subsequent studies in educational robotics and low-cost autonomous systems, providing a clear, replicable framework for students and researchers alike. Ecsedi’s research continues to bridge the gap between theoretical algorithms and practical deployment, making her a promising voice in the field of autonomous robotics.