Giacomo Tomasi

Papers

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About

Giacomo Tomasi is a researcher advancing the frontier of agricultural robotics, with a focus on developing intelligent, reconfigurable systems for dynamic farming environments. His most-cited work, "Conceptualization and Implementation of a Reconfigurable Unmanned Ground Vehicle for Emulated Agricultural Tasks" (2022, 20 citations), introduces a versatile, modular unmanned ground vehicle (UGV) designed to perform multiple agricultural operations—a promising solution for small-to-medium scale farms seeking cost-effective automation. This work demonstrates his core contribution: bridging the gap between rigid robotic platforms and the flexible, multi-purpose tools needed in real-world agriculture. Building on this, Tomasi’s research in "Metrology-aware Path Planning for Agricultural Mobile Robots in Dynamic Environments" (2021, 4 citations) tackles a critical challenge: enabling robots to autonomously navigate uncertain, long-term farm environments by integrating path planning with sensor uncertainty. His metrology-aware approach ensures that robots can adapt to changing conditions while maintaining precision. Together, these contributions highlight Tomasi’s impact in creating robust, adaptable robotic systems that can operate reliably in the unpredictable outdoors. His work is essential reading for students and researchers interested in field robotics, autonomous navigation, and the practical deployment of agricultural robots.