Nikolaos Stathoulopoulos
Luleå University of Technology, Xi'an University of Technology
Papers
13
Total Citations
84
H-Index
6
About
Nikolaos Stathoulopoulos is a robotics researcher specializing in autonomous multi-robot systems, 3D mapping, and localization in GPS-denied and hazardous environments. His work addresses some of the most demanding challenges in field robotics, particularly the coordination and perception capabilities required for robots operating in subterranean and industrial settings. His most significant contributions include the FRAME framework — appearing in two highly cited iterations (2023, 2024; 14 and 10 citations respectively) — which enables fast, robust 3D point cloud map-merging for heterogeneous multi-robot teams without relying on prior pose knowledge. Complementing this, his 3DEG descriptor approach tackles LiDAR-based global re-localization under degraded sensing conditions, also garnering 14 citations. His RecNet system innovatively compresses and reconstructs point cloud data for bandwidth-constrained multi-robot deployments, while his communication-aware framework leverages 5G networks for large-scale data transmission in robotic fleets. Beyond algorithmic contributions, Stathoulopoulos has demonstrated real-world impact through pioneering autonomous UAV missions conducting gas monitoring in active underground mines shortly after blasting. His multimodal datasets from aerosol-filled subterranean environments further support the broader research community. With over 70 cumulative citations across recent publications, his research meaningfully advances safe, autonomous exploration in some of the world's most challenging operational conditions.
Research Focus
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Top Papers
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