Papers
1
Total Citations
53
H-Index
1
About
Gabriel Jiga is a leading researcher at the intersection of intelligent manufacturing, robotics, and digital systems. His work centers on integrating digital twin technology with web services to enhance automation and precision in industrial processes. His most-cited paper, "Digital Twin and web services for robotic deburring in intelligent manufacturing" (2022), has garnered 53 citations, establishing a foundational framework for real-time simulation and control in robotic deburring—a critical step in high-quality manufacturing. This contribution is notable for bridging the gap between virtual models and physical operations, enabling more adaptive, efficient, and error-resistant production lines. Jiga’s research has direct implications for Industry 4.0, offering scalable solutions that reduce downtime and improve surface finishing accuracy. His work is widely referenced in studies on cyber-physical systems and smart factory automation, reflecting its practical impact. By advancing the synergy between digital twins and robotic services, Gabriel Jiga continues to shape the future of intelligent manufacturing, making him a key figure for students and researchers exploring automation, digitalization, and process optimization.
Research Focus
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Top Papers
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