Eleftherios Petavratzis
Papers
10
Total Citations
194
H-Index
7
About
Eleftherios Petavratzis is a leading researcher at the intersection of nonlinear dynamics and autonomous robotics, specializing in chaotic path planning for mobile robots and unmanned aerial vehicles (UAVs). His core contributions lie in developing novel algorithms that harness the unpredictability of chaotic systems—such as the logistic map and modified hyperjerk systems—to generate efficient, random-like motion commands for terrain coverage. Petavratzis introduced groundbreaking techniques including modulo tactics, memory-based enhancements, and inverse pheromone models, which dramatically improve coverage speed and completeness while maintaining trajectory unpredictability. His most-cited work, “A chaotic path planning generator based on logistic map and modulo tactics” (2019), has garnered 64 citations, reflecting its foundational impact. He also pioneered the use of discrete memristive chaotic systems for robotic control, as seen in his 2021 paper (12 citations). With over 190 total citations across ten publications, Petavratzis has advanced both theoretical chaos analysis and practical robotic implementation, including experimental validation with Arduino-based platforms. His research offers elegant solutions to critical challenges in autonomous exploration, surveillance, and search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
- 1A chaotic path planning generator based on logistic map and modulo tactics64 citations · 2019
- 2
- 3A chaotic path planning generator enhanced by a memory technique27 citations · 2021
- 4
- 5Experimental study of terrain coverage of an autonomous chaotic mobile robot15 citations · 2023
- 6
- 7
- 8
- 9Chaotic Motion Control of a Mobile Robot Using a Memory Technique4 citations · 2020
- 10Experimental Coverage Performance of a Chaotic Autonomous Mobile Robot4 citations · 2022