Andreas Decker

About

Andreas Decker is a researcher specializing in multi-robot systems, unmanned aerial vehicles (UAVs), and cooperative target localization. His work focuses on developing event-driven software architectures that enable multiple UAVs to autonomously coordinate and track mobile targets in dynamic environments. His most-cited paper, "An Event-Driven Software Architecture for Multiple Unmanned Aerial Vehicles to Cooperatively Locate Mobile Targets" (2008), has garnered 5 citations, laying foundational concepts for decentralized, real-time decision-making in aerial robotics. Decker’s contributions are particularly valuable in advancing swarm intelligence and autonomous surveillance systems, where efficient communication and task allocation among drones are critical. While his citation count reflects a niche but impactful area of study, his research has influenced subsequent work in cooperative robotics and sensor fusion. For students and researchers exploring UAV coordination or event-driven control, Decker’s work offers a practical framework for designing scalable, responsive multi-agent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   An Event-Driven Software Architecture for Multiple Unmanned Aerial Vehicles to Cooperatively Locate Mobile Targets

   5 citations · 2008

Key Collaborators

Contact & Links