Mauro Gaggero

Institute of Marine Engineering, National Research Council

Papers

Total Citations

H-Index

About

Mauro Gaggero is a leading researcher in the field of cyber-physical systems and autonomous robotics, with a particular focus on mission planning and optimal control under uncertainty. His work addresses critical challenges in deploying robotic networks for complex, time-sensitive missions, where adaptability to disturbances and hardware failures is paramount. Gaggero’s most cited paper, “When Time Matters: Predictive Mission Planning in Cyber-Physical Scenarios” (2019, 10 citations), introduces novel strategies for dynamic task replanning, enabling robots to react effectively to real-time changes. He further advanced this area with his 2016 study on optimal control of time instants for task replanning in robotic networks (4 citations), providing a mathematical framework for efficient resource allocation. Notably, Gaggero also bridges robotics and public engagement, as seen in his 2020 experiment combining marine robotics with citizenship engagement through imitation learning (3 citations), conducted at the Festival della Comunicazione in Camogli, Italy. This work demonstrates his commitment to making robotics accessible and interactive. With a growing citation impact, Gaggero’s contributions are shaping the future of autonomous systems, particularly in marine and cyber-physical domains, making him a key figure for students and researchers interested in resilient, human-aware robotic planning.