Panagiotis Sapoutzoglou
Papers
1
Total Citations
1
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About
Panagiotis Sapoutzoglou is a researcher at the forefront of human-robot collaboration, with a focused expertise in industrial assembly and adaptive task execution. His work centers on developing intelligent systems that enable robots to dynamically adjust their behavior in real-time, ensuring seamless and safe cooperation with human workers. His most-cited paper, "Dynamic Adaptability in Human-Robot Collaboration for Industrial Assembly: A Behaviour Tree Based Task Execution" (2024), introduces a novel framework that leverages behaviour trees to orchestrate complex, flexible workflows. This contribution addresses a critical challenge in modern manufacturing: the need for robots to autonomously respond to changing environmental conditions and human actions without requiring constant reprogramming. By pioneering this approach, Sapoutzoglou is helping to bridge the gap between rigid automation and truly collaborative, adaptive robotics. His work holds significant promise for enhancing productivity and ergonomics in smart factories, marking him as an emerging voice in the field of Industry 4.0 and human-robot interaction.
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