Z. Zinonos
Papers
6
Total Citations
234
H-Index
4
About
Z. Zinonos is a leading researcher at the intersection of educational robotics, cooperative multi-robotic systems, and Industry 4.0 automation. Their most influential work, "Educational Robotics: Platforms, Competitions and Expected Learning Outcomes" (2020), has garnered 172 citations and fundamentally redefines how educators and researchers approach robotics in the classroom by proposing new conceptual frameworks for learning outcomes. Zinonos has also pioneered the application of fuzzy logic to solve challenges in cooperative multi-robotic wireless sensor networks (2019, 27 citations), demonstrating how intelligent control systems can enhance scalability and reliability in distributed robotic teams. Their practical contributions include developing a fuzzy rule-based control system for high-speed line-following robots (2020, 11 citations) and addressing the critical industrial challenge of robotic bin-picking in the Industry 4.0 era (2023). Zinonos further explores cutting-edge convergence between educational robotics and blockchain technology through the "skillsChain" decentralized application (2021), which aims to disrupt traditional educational processes. With work spanning from classroom platforms to industrial automation, Zinonos continues to shape how robots are selected, programmed, and deployed across educational and manufacturing contexts.
Research Focus
Key Achievements
Top Papers
- 1Educational Robotics: Platforms, Competitions and Expected Learning Outcomes172 citations · 2020
- 2
- 3Selecting a Robotic Platform for Education18 citations · 2022
- 4A Fuzzy Rule-Based Control System for Fast Line-Following Robots11 citations · 2020
- 5Bin-Picking in the Industry 4.0 Era4 citations · 2023
- 6