Martina Mammarella

Politecnico di Torino, Institute of Electronics, Computer and Telecommunication Engineering

Papers

Total Citations

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About

Martina Mammarella’s research lies at the intersection of multi-robot systems, coverage control, and 3D environmental mapping, with a particular focus on drone networks. Her major contribution is the development of an innovative “angle-aware” coverage control framework, which fundamentally rethinks how aerial robots collect data for 3D map reconstruction. Unlike traditional approaches that only consider spatial coverage, Mammarella’s work explicitly accounts for the need to capture images from diverse viewing angles—a critical requirement for high-fidelity 3D models. She formulated this as a novel coverage control problem using a virtual field concept and implemented it through a quadratic programming (QP)-based solution. Her most-cited paper (26 citations) introduces this angle-aware methodology, while subsequent work (12 and 6 citations) validates the approach through real-world experiments in precision agriculture, specifically for orchard mapping. By enabling a fleet of UAVs to autonomously coordinate their trajectories to maximize angular diversity, Mammarella has advanced the practical deployment of drone networks for environmental monitoring and agricultural remote sensing. Her work bridges theoretical control theory with tangible applications, demonstrating how intelligent coverage strategies can transform drone-based 3D reconstruction from a proof-of-concept into a viable tool for precision agriculture.