G.S. Tombras

National and Kapodistrian University of Athens

Papers

Total Citations

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About

G.S. Tombras is a distinguished researcher whose work spans the intersection of nonlinear dynamics, robotics, and intelligent systems. His key research areas include chaotic path planning for autonomous mobile robots, bio-inspired algorithms, and the application of chaotic maps to real-world engineering problems. One of his most notable contributions is the development of an inverse pheromone approach for chaotic mobile robot path planning, based on a modified logistic map. This work, published in 2019 and garnering 21 citations, addresses the critical challenge of efficient terrain coverage by introducing a novel method that leverages chaotic pseudo-random bit generation to optimize robot navigation. Tombras’s research demonstrates how principles from chaos theory can be harnessed to improve the speed and efficiency of autonomous systems, offering a fresh perspective on bio-inspired algorithms. His work is particularly valuable for students and researchers in robotics, control systems, and applied nonlinear dynamics, as it bridges theoretical concepts with practical, implementable solutions. Through his innovative approaches, Tombras continues to influence the development of smarter, more adaptive autonomous systems.