Papers

5

Total Citations

38

H-Index

4

About

Lykourgos Petropoulakis is a pioneering researcher whose work spans intelligent control systems, robotics, and human-robot interaction, with a career that bridges classical automation and modern deep learning. His most influential contribution, the 2019 paper "Human Emotion Recognition in Video Using Subtraction Pre-Processing" (19 citations), introduces a novel image pre-processing method that enhances feature clarity for deep learning models, significantly improving emotion detection performance. This work demonstrates his ability to refine fundamental techniques for cutting-edge applications. Earlier, Petropoulakis made foundational contributions to manufacturing and autonomous systems. His 1998 study on hybrid simulators for manufacturing processes (6 citations) advanced the integration of virtual and physical environments for industrial automation. He also developed hierarchical intelligent control systems using agents and fuzzy behavioral structures (2002, 5 citations), addressing control challenges in semi-structured environments. In the 1990s, his work on programming autonomous assembly agents (5 citations) tackled the core problems of instructing assembly robots with functionality and robustness. More recently, his 2018 research on predicting robot-to-human handover events using vibrations (3 citations) addresses critical safety and timing issues in physical human-robot collaboration. Petropoulakis’s career reflects a rare combination of theoretical depth and practical engineering, making him a notable figure in both intelligent control and human-robot interaction.

Research Focus

Key Achievements

4
H-Index
5
Papers
38
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Human Emotion Recognition in Video Using Subtraction Pre-Processing
19 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Royal College of Physicians and Surgeons of Canada, University of Strathclyde

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago