Sotirios Makris
Papers
4
Total Citations
110
H-Index
4
About
Sotirios Makris is a leading researcher in the field of human-robot collaboration and smart manufacturing, with a focus on integrating advanced technologies into industrial production lines. His work centers on three key areas: machine learning for assembly monitoring, exoskeleton integration using virtual reality, and dynamic human-robot task scheduling. Makris’s most cited paper (46 citations) introduces a machine learning approach to monitor human-based assembly operations, enabling safer and more efficient hybrid workspaces where operators and industrial robots cooperate. His research on exoskeleton integration (37 citations) leverages VR techniques to seamlessly incorporate wearable technologies into manufacturing, enhancing worker endurance and reducing injury risks. Additionally, his work on shared task scheduling (22 citations) addresses the critical challenge of real-time re-scheduling in human-robot teams, optimizing resource allocation for interdependent workflows. Makris also explores evolutionary information systems to provide personalized support for plant operators in cognitive cyber-physical environments. His contributions are pivotal in advancing Industry 4.0, bridging the gap between human skill and robotic precision, and his research continues to shape the future of adaptive, human-centric manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 3On a shared human-robot task scheduling and online re-scheduling22 citations · 2018
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