ILT at Digital Avionics Systems Conference in San Diego

🛠 Data-Driven Flight Control for Multicopters (Papakonstantinou): Their 
data-driven control (DDFC) approach combines conventional flight control 
methods with data-based models, allowing for highly responsive and 
precise UAV control in dynamic conditions. This hybrid model is a 
powerful step toward real-time adaptability and resource efficiency.

📷 Monocular Depth Estimation with Segmentation for UAVs (Jaisawal, 
Papakonstantinou): This method combines depth estimation with 
segmentation features to enhance spatial perception using a fisheye 
camera. This joint architecture offers UAVs reliable, real-time scene 
understanding critical for navigation and obstacle 
avoidance—particularly valuable where weight and computational power are 
limited.

🚁 Soft Actor-Critic for UAV Motion Planning (Mishra, Papakonstantinou): 
By leveraging deep reinforcement learning, their approach enables stable 
and efficient path planning for UAVs in unpredictable environments, 
using an entropy-maximizing reward system for improved learning 
stability and data efficiency.

Kudos to the authors on these innovative contributions that advance UAV 
capabilities in the autonomous aviation field! 🚀