Michail Manios

International Hellenic University, Technological Educational Institute of Eastern Macedonia and Thrace

Papers

Total Citations

H-Index

About

Michail Manios is a researcher at the intersection of agricultural automation, open-source robotics, and human-robot interaction. His work addresses critical challenges in precision agriculture, education, and assistive technologies. His most cited paper, "Machine Vision for Ripeness Estimation in Viticulture Automation" (2021, 47 citations), introduces a machine vision approach to automate ripeness estimation in viticulture, reducing reliance on manual sampling and chemical analysis—a key contribution to smart farming. Manios also explores open-source robotics platforms for education (2018, 12 citations), advocating for accessible, modifiable hardware and software to democratize robotics learning. In time-series classification, his "WINkNN" method (2020, 12 citations) extends the k-nearest neighbor classifier for cyber-physical systems, with applications in human-robot interaction. Additionally, his work on multilingual verbal communication in human-robot interaction (2020) targets language barriers in education and healthcare for children with special needs. With a growing citation record and a focus on real-world impact, Manios is advancing robotics and automation across agriculture, education, and inclusive technologies.