Angelos Giakoumis

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About

Angelos Giakoumis is a researcher in robotics and nonlinear dynamics, with a focus on chaotic systems and autonomous mobile robots. His most-cited work, "Experimental Coverage Performance of a Chaotic Autonomous Mobile Robot" (2022), introduces a novel approach to workspace coverage by generating motion commands from a chaotic system, which imparts high randomness to the robot's behavior. Implemented using an Arduino Uno microcontroller, this study demonstrates how chaotic dynamics can be harnessed for efficient, unpredictable path planning—a key challenge in autonomous exploration and surveillance. With 4 citations, this paper has already sparked interest in the intersection of chaos theory and robotics. Giakoumis’s contributions lie in bridging theoretical chaos with practical robotic applications, offering a fresh perspective on coverage algorithms. His work is particularly notable for its experimental validation, moving beyond simulation to real-world implementation. For students and researchers, Giakoumis exemplifies how interdisciplinary thinking can solve practical engineering problems, making his research a compelling starting point for exploring chaos-based robotics.