Papers
14
Total Citations
182
H-Index
7
About
Sotiris Manitsaris is a pioneering researcher at the intersection of human movement analysis, artificial intelligence, and human-robot collaboration, with a particular focus on intelligent manufacturing and Industry 4.0 environments. His work has consistently pushed the boundaries of how machines perceive, interpret, and respond to professional human gestures in real-world industrial settings. Manitsaris first gained significant attention with his 2015 framework for gesture recognition using RGB-D depth cameras, which has since accumulated 47 citations and established a foundation for natural human-robot collaboration on assembly lines. Building on this, he developed user-adaptive and multi-user gesture recognition systems that brought greater flexibility and scalability to collaborative robotics. His research expanded into deep learning methodologies, including 3D convolutional neural networks for egocentric gesture recognition, and multivariate time series representations for both recognizing and forecasting professional movement trajectories. More recently, Manitsaris has embraced explainability in AI-driven human motion modeling, addressing critical transparency challenges in deploying intelligent systems in professional contexts. His 2023 motion capture benchmark dataset further demonstrates his commitment to reproducible, rigorous research. Collectively accumulating over 170 citations, his contributions have meaningfully shaped how collaborative robots can safely, naturally, and intelligently work alongside human operators.
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