David Dovrat

Technion – Israel Institute of Technology

Papers

Total Citations

H-Index

About

David Dovrat is a researcher specializing in multi-agent robotic systems (MARS) and autonomous UAV navigation, with a focus on reducing localization uncertainty in mobile agents. His work centers on developing frameworks and algorithms that enhance the reliability and efficiency of autonomous drone swarms. Dovrat’s most notable contribution is **AntAlate**, a multi-agent autonomy framework designed to streamline the deployment of UAVs in complex, real-world environments. This software simplifies the development process for application engineers, enabling scalable coordination among multiple drones. In parallel, his research on the "Value of Assistance for Mobile Agents" (2023) addresses a critical challenge in robotics: how assistive actions—such as recalibrating a drone’s position—can minimize growing localization errors during movement. By quantifying when and how to intervene, Dovrat’s work improves mission success rates for autonomous fleets. Though his papers have garnered early-career citations (2 each), their practical impact is evident in advancing robust, uncertainty-aware autonomy. Dovrat’s contributions are particularly valuable for students and engineers building resilient multi-agent systems, bridging the gap between theoretical control and real-world deployment.