Iulian Hurloiu
Papers
2
Total Citations
189
H-Index
2
About
Iulian Hurloiu is a leading researcher at the intersection of artificial intelligence, big data, and robotics, with a primary focus on the Internet of Robotic Things (IoRT). His work systematically explores how deep learning-based object detection, geospatial simulation, and sensor fusion tools can be integrated to create more intelligent and autonomous robotic systems. His two most cited papers—a 2023 study (109 citations) and a 2022 study (80 citations)—are seminal systematic reviews that synthesize the rapidly evolving landscape of IoRT technologies. These contributions have been instrumental in mapping the field, particularly in clarifying how remote big data management tools, sensing and computing technologies, and visual perception algorithms work together to enable environment mapping and real-time decision-making. Hurloiu’s research provides a critical framework for understanding the convergence of big data analytics and robotic perception, making his work essential reading for students and engineers developing next-generation autonomous systems. His high citation counts reflect the foundational nature of his reviews, which continue to guide innovation in smart robotics and sensor-driven automation.
Research Focus
Key Achievements
Top Papers
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