Panagiotis Artemiou
Papers
1
Total Citations
3
H-Index
1
About
Panagiotis Artemiou is a researcher at the intersection of autonomous robotics, nonlinear dynamics, and intelligent exploration systems. His primary contributions lie in developing novel chaotic navigation algorithms that enable agents to achieve uniform area coverage while maintaining unpredictable movement—a critical capability for applications in surveillance, search-and-rescue, and environmental monitoring. In his most cited work, "Chaotic Agent Navigation: Achieving Uniform Exploration Through Area Segmentation" (2022, 3 citations), Artemiou introduces an algorithm that leverages the Rényi map as a deterministic yet chaotic source of randomness to control robot orientation and movement direction. By segmenting the exploration area and coupling chaotic dynamics with spatial constraints, his approach ensures thorough exploration without the predictability of traditional pseudo-random methods. This work bridges chaos theory and practical robotics, offering a lightweight, computationally efficient solution for agents operating in unknown or adversarial environments. Artemiou’s research continues to push the boundaries of bio-inspired and physics-driven navigation, with implications for swarm robotics and autonomous systems where stealth and coverage are paramount.
Research Focus
Key Achievements
Top Papers
- 1