Papers
5
Total Citations
214
H-Index
5
About
Charis Ntakolia is a leading researcher in computational intelligence and autonomous systems, with a primary focus on multi-objective path planning for unmanned vehicles. Her work addresses critical challenges in enabling unmanned surface vehicles (USVs) and unmanned aircraft vehicles (UAVs) to navigate complex, dynamic environments while avoiding obstacles and optimizing multiple objectives simultaneously. Ntakolia’s major contributions include pioneering the integration of swarm intelligence, fuzzy logic, and genetic algorithms to enhance autonomous navigation. Her highly cited 2022 study on Ant Colony Optimization for USV path planning (84 citations) and her work on autonomous path planning for smart assistive systems (70 citations) have significantly advanced the field. She also developed the SIGPAF algorithm, a novel graph-based pathfinding approach combining swarm intelligence and fuzzy logic, and introduced a genetic algorithm enhanced with fuzzy logic for UAV mission planning. Additionally, her research on obstacle detection using generative adversarial networks and fuzzy sets (2019) demonstrates her innovative application of deep learning to navigation safety. With over 200 citations across her key works, Ntakolia’s research is instrumental in the development of safer, more efficient autonomous vehicles for mission-critical applications such as fire detection, delivery services, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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- 2Autonomous path planning with obstacle avoidance for smart assistive systems70 citations · 2022
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