Alberto Luvisutto

Technology Innovation Institute, University of Trieste

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About

Alberto Luvisutto is a leading researcher in the field of autonomous robotics, with a primary focus on multi-agent systems and swarm intelligence for challenging underwater environments. His work addresses the fundamental limitations of GPS-denied, communication-constrained, and high-pressure marine settings. Luvisutto’s major contributions include pioneering frameworks for deploying robotic swarms in submarine missions, where he has developed strategies to overcome obstacles like turbidity, darkness, and hydrodynamic stress. His most cited paper, “Robotic Swarm for Marine and Submarine Missions: Challenges and Perspectives” (2022, 14 citations), provides a comprehensive roadmap for wide-area underwater exploration and monitoring. Building on this, his 2025 work, “Enhancing collaboration in uncertain environment: Multi-Agent Reinforcement Learning for underwater monitoring” (8 citations), introduces advanced AI-driven coordination methods that enable multiple underwater robots to collaborate effectively despite limited visibility and communication. By integrating reinforcement learning with swarm robotics, Luvisutto is pushing the boundaries of autonomous environmental monitoring, offering scalable solutions for oceanography, infrastructure inspection, and search-and-rescue operations. His research is pivotal for the next generation of resilient, intelligent marine systems.