Spyridon G. Mouroutsos
Papers
11
Total Citations
208
H-Index
6
About
Spyridon G. Mouroutsos is a leading researcher at the intersection of intelligent automation, machine vision, and sustainable manufacturing. His work primarily focuses on advancing Industry 4.0 and 5.0 technologies, with key contributions in machine vision maturity assessment, multi-modal waste sorting, and autonomous robotic systems. Mouroutsos developed a technology maturity assessment framework for Industry 5.0 machine vision systems in automotive manufacturing (58 citations), providing a systematic methodology for evaluating intelligent factory vision capabilities. He also pioneered multi-modal sorting approaches for plastic and wood waste streams (47 citations), addressing critical challenges in recycling feedstock purity. His research extends to cyber-physical sorting systems based on Industry 4.0 principles (24 citations) and autonomous robot frameworks for warehouse health and safety inspections (11 citations). Mouroutsos has made notable contributions to domestic robot safety certification and probabilistic visual loop-closure detection for simultaneous localization and mapping. With over 200 total citations across his most-cited works, his research has significant practical implications for manufacturing efficiency, waste valorization, and human-robot interaction safety. His work on the AROWA framework exemplifies his commitment to translating cutting-edge automation into real-world industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-modal sorting in plastic and wood waste streams47 citations · 2023
- 3Safety certification requirements for domestic robots31 citations · 2012
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- 5Sequence-based mapping for probabilistic visual loop-closure detection18 citations · 2021
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- 10Genetic design of dynamically optimal robotic manipulators3 citations · 1998