About

Christos Emmanouilidis is a researcher whose work spans robotics, artificial intelligence, human-machine collaboration, and industrial automation — with a career arc that traces from pioneering robotic inspection systems to cutting-edge explainable AI and human-AI teaming frameworks. His early contributions focused on autonomous robotic systems for hazardous industrial environments, including mobile robots for non-destructive testing of steel plates and above-ground storage tank inspection, demonstrating a long-standing commitment to replacing humans in dangerous settings. This work laid the foundation for his later research in socially-aware robot navigation, where graph network-based models enable robots to predict and respond to human movement in shared workspaces. More recently, Emmanouilidis has emerged as a significant voice in explainable AI (xAI) and active learning for visual inspection, with his 2023 paper attracting 13 citations — his most impactful work to date. His research on Digital Twins and "Sliding Work Sharing" ontologies reflects a sophisticated vision of dynamic, transparent human-AI collaboration in cyber-physical manufacturing environments. Collectively, his body of work addresses a central challenge of modern industry: how humans and intelligent machines can work together safely, effectively, and equitably — making him a valuable reference point for researchers in industrial AI, collaborative robotics, and smart manufacturing.

Research Focus

Key Achievements

4
H-Index
12
Papers
50
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Human in the AI Loop via xAI and Active Learning for Visual Inspection
13 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: University of Groningen, Athena Research and Innovation Center In Information Communication & Knowledge Technologies, Cranfield University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago