Emmanuel Plevritakis
Papers
1
Total Citations
5
H-Index
1
About
Emmanuel Plevritakis is a researcher at the forefront of human-robot collaboration in manufacturing, with a focus on extended reality (XR) platforms. His most-cited work, "An open extended reality platform supporting dynamic robot paths for studying human–robot collaboration in manufacturing" (2024), introduces a novel framework that integrates XR with adaptive robotic systems to enable real-time, flexible interactions between humans and robots on the factory floor. This contribution addresses critical challenges in Industry 4.0, such as safety, efficiency, and intuitive control, by allowing dynamic path adjustments based on human input. While his citation count is still growing—with 5 citations for his flagship paper—Plevritakis’s work is gaining traction for its practical implications in smart manufacturing. His research bridges the gap between virtual simulations and physical operations, offering a scalable solution for studying collaborative workflows. As an emerging scholar, Plevritakis is recognized for advancing open-source tools that democratize access to XR-robotics integration, making his platform a valuable resource for both academic labs and industrial applications. His work signals a shift toward more adaptive, human-centric automation.
Research Focus
Key Achievements
Top Papers
- 1