Yevhen Bondarenko
Papers
9
Total Citations
264
H-Index
6
About
Yevhen Bondarenko is a pioneering researcher at the intersection of digital twin technology, industrial robotics, and immersive human-machine interaction. His work has fundamentally advanced how manufacturing environments are virtually represented, synchronized, and controlled, establishing him as a significant contributor to Industry 4.0 innovation. Bondarenko's most influential contribution — "Digital Twin Based Synchronised Control and Simulation of the Industrial Robotic Cell Using Virtual Reality" (2019, 123 citations) — demonstrated that virtual reality extends far beyond entertainment, serving as a powerful tool for real-time industrial robot programming and control. This seminal work catalyzed subsequent research into IIoT middleware synchronization between physical factories and their digital counterparts, explored in his companion study earning 44 citations. Across nine highly regarded publications spanning 2019–2023, Bondarenko has systematically tackled critical challenges in digital twin adoption for small and large enterprises alike, developing hybrid robot programming methodologies, collaborative VR environments, ROS-based integration frameworks, and intuitive universal user interfaces. His exploration of augmented and extended reality interfaces for human-robot interaction reflects a consistent vision: making advanced robotic systems more accessible, flexible, and safe for operators. With over 260 cumulative citations, Bondarenko's research continues shaping next-generation smart manufacturing, offering both theoretical frameworks and practical, deployable solutions for modern industrial environments.
Research Focus
Key Achievements
Top Papers
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- 3Digital Twin as Industrial Robots Manipulation Validation Tool36 citations · 2022
- 4Digital Twin: Concept of Hybrid Programming for Industrial Robots — Use Case16 citations · 2019
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