Nikolaos Kyriakoulis
Papers
9
Total Citations
120
H-Index
6
About
Nikolaos Kyriakoulis is a robotics researcher whose work centers on visuo-inertial fusion, pose estimation, and novel locomotion systems for service robots. His most cited contributions include developing color-based monocular visuo-inertial systems for 3D pose estimation of volant (flying) robots, integrating visual and inertial measurements to achieve robust and flexible pose tracking. He also pioneered the ACROBOTER platform, a ceiling-based crawling, hoisting, and swinging robot that extends indoor service robots into the vertical dimension—offering higher payloads than aerial robots with less environmental intrusion. Kyriakoulis has advanced multi-camera 3D scene reconstruction using vanishing points, adaptive fuzzy control for vergence in robotic stereo vision, and hierarchical fuzzy systems for visuo-inertial fusion. His work on safety certification requirements for domestic robots addresses critical standards for real-world deployment. With multiple papers accumulating over 30 citations each, his research has shaped the fields of autonomous navigation, sensor fusion, and service robot design. Kyriakoulis’s contributions are particularly relevant for students and researchers interested in vision-based robotics, indoor aerial systems, and intelligent control architectures.
Research Focus
Key Achievements
Top Papers
- 1Color-Based Monocular Visuoinertial 3-D Pose Estimation of a Volant Robot31 citations · 2010
- 2Safety certification requirements for domestic robots31 citations · 2012
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- 4Comparison of Data Fusion Techniques for Robot Navigation8 citations · 2006
- 5Multi-camera 3D scene reconstruction from vanishing points6 citations · 2010
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