Loizos Hadjiloizou
Papers
1
Total Citations
4
H-Index
1
About
Loizos Hadjiloizou is a robotics researcher specializing in autonomous aerial systems, with a focus on real-time multi-sensor fusion and resilient navigation in GPS-denied environments. His most cited work, "Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication," introduces a novel framework that integrates IMU data, camera-based object detection, and Ultra-WideBand (UWB) localization to enable robust quadrotor flight under challenging indoor conditions. By addressing intermittent communication and computational constraints, Hadjiloizou’s contributions advance the practical deployment of drones for inspection, search-and-rescue, and warehouse logistics. His research has garnered early recognition, with his flagship paper accumulating 4 citations since 2022, reflecting growing interest in onboard autonomy. Hadjiloizou’s work stands out for its emphasis on real-time, low-latency processing—a critical requirement for safe autonomous operations. His achievements include developing a system that maintains pose estimation accuracy even when external links are lost, a key step toward fully autonomous indoor flight. For students and researchers, Hadjiloizou’s research offers a compelling model of how sensor fusion and edge computing can overcome the limitations of traditional GPS-based navigation.
Research Focus
Key Achievements
Top Papers
- 1