Hector E. Nistazakis
Papers
8
Total Citations
175
H-Index
7
About
Hector E. Nistazakis is a leading researcher in nonlinear dynamics, chaos theory, and autonomous robotics, with a particular focus on chaotic path planning for mobile robots and unmanned aerial vehicles (UAVs). His major contributions include developing novel chaotic path planning generators based on modified logistic maps and modulo tactics, which enable efficient, unpredictable, and complete coverage of 2D and 3D workspaces. Notably, his 2019 paper on a chaotic path planning generator using a logistic map and modulo tactic has garnered 64 citations, highlighting its influence in the field. Nistazakis has also pioneered the use of discrete memristive chaotic systems for robot motion control, as seen in his 2021 work (12 citations), and introduced an inverse pheromone approach to enhance coverage performance. His research extends to the analysis and synchronization of hyperjerk chaotic systems, with robotic applications demonstrated in a 2020 study (28 citations). With over 175 total citations across his most-cited works, Nistazakis’s innovative integration of chaos theory into practical robotics—including experimental implementations using microcontrollers like Arduino—has significantly advanced autonomous navigation and area coverage strategies.
Research Focus
Key Achievements
Top Papers
- 1A chaotic path planning generator based on logistic map and modulo tactics64 citations · 2019
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- 3A chaotic path planning generator enhanced by a memory technique27 citations · 2021
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- 8Experimental Coverage Performance of a Chaotic Autonomous Mobile Robot4 citations · 2022