Stratis Kanarachos

Coventry University, National Technical University of Athens

Papers

Total Citations

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About

Stratis Kanarachos is a researcher whose work spans intelligent vehicle systems, battery state estimation, and agricultural robotics. His key research areas include deep learning for autonomous navigation, lithium-ion battery modeling, and novel robotic harvesting technologies. A major contribution is his deep learning approach for accurately positioning wheeled vehicles in GNSS-deprived environments, a critical advancement for autonomous driving in tunnels or urban canyons, which has garnered 32 citations. In energy systems, he developed a recursive least squares method with optimum multiple adaptive forgetting factors for estimating battery state of charge and state of health, cited 21 times for its impact on electric vehicles and smart-grid reliability. Kanarachos also innovates in agricultural robotics, designing a compact strawberry harvesting tube and a laser stem-cutting prototype, both from 2022, that aim to boost productivity and robustness in produce harvesting. His work demonstrates a versatile engineering mindset, applying computational methods to solve real-world challenges in mobility, energy storage, and food production.