Konstantinos Platanitis

Hellenic Air Force, Technical University of Crete

Papers

Total Citations

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About

Konstantinos Platanitis is a researcher at the forefront of computational intelligence for autonomous robotics, specializing in multi-objective path planning for unmanned aerial vehicles (UAVs). His work bridges the gap between swarm robotics and real-world mission-critical applications, such as fire detection and smart delivery services. Platanitis’s most impactful contribution, "A Genetic Algorithm enhanced with Fuzzy-Logic for multi-objective Unmanned Aircraft Vehicle path planning missions" (2022), has garnered 22 citations, demonstrating its influence in advancing UAV autonomy. In this work, he integrates fuzzy logic with genetic algorithms to enable UAVs to make sophisticated, energy-efficient decisions while satisfying complex mission constraints. His related study on "UAV path planning for offshore swarm-based missions" (2022) further explores how swarm robotics can achieve safe, coordinated group behavior in challenging environments. By tackling the dual challenges of computational efficiency and real-time adaptability, Platanitis is helping to shape the next generation of autonomous systems. His research is particularly notable for its practical orientation, directly addressing the operational needs of smart delivery and emergency response missions. For students and researchers in robotics and AI, Platanitis’s work offers a compelling model of how hybrid computational approaches can solve real-world navigation problems.