Ioannis Stouboulos
Papers
13
Total Citations
527
H-Index
8
About
Ioannis Stouboulos is a leading researcher in the field of chaotic path planning for autonomous mobile robots, with a focus on developing efficient, unpredictable, and high-coverage navigation strategies. His work centers on leveraging chaotic systems—such as the logistic map and memristive maps—to generate pseudo-random motion commands that enable robots to rapidly and thoroughly explore unknown terrains. Stouboulos’s most influential contribution is his 2012 paper on a chaotic path planning generator, which has garnered 180 citations, followed closely by his 2013 experimental study on coverage performance (169 citations). He has pioneered the integration of inverse pheromone models and modulo tactics to enhance area coverage, and his 2021 work introduced a memory technique to improve path efficiency. Notably, Stouboulos was the first to apply a discrete memristive chaotic system to robot motion control, achieving faster terrain coverage with fewer commands. His research extends to 3D environments for unmanned aerial vehicles (UAVs), demonstrating broad applicability. With over 500 total citations across his key papers, Stouboulos has significantly advanced autonomous navigation, making his work essential for students and researchers in robotics, chaos theory, and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1A chaotic path planning generator for autonomous mobile robots180 citations · 2012
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- 3A chaotic path planning generator based on logistic map and modulo tactics64 citations · 2019
- 4A chaotic path planning generator enhanced by a memory technique27 citations · 2021
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- 6Experimental study of terrain coverage of an autonomous chaotic mobile robot15 citations · 2023
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