Evagoras Makridis
Papers
1
Total Citations
4
H-Index
1
About
Evagoras Makridis is a robotics researcher whose work centers on autonomous aerial systems, multi-sensor fusion, and real-time navigation in challenging environments. His most cited paper, "Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication" (2022), introduces a novel framework that integrates an Inertial Measurement Unit (IMU), camera-based object detection, and Ultra-WideBand (UWB) localization to enable robust quadrotor flight even when communication links are unreliable. This contribution addresses a critical bottleneck in indoor drone operations—maintaining accurate pose estimation despite sensor dropouts and signal interference. With 4 citations, the work has already garnered attention from researchers tackling similar problems in GPS-denied environments. Makridis’s approach stands out for its emphasis on onboard processing, reducing dependency on external infrastructure and enhancing real-time decision-making. His research has practical implications for search-and-rescue, warehouse automation, and infrastructure inspection. By pushing the boundaries of resilient navigation, Makridis is helping to make autonomous drones more dependable in the real world.
Research Focus
Key Achievements
Top Papers
- 1