Lorenzo Benozzi

Centre National de la Recherche Scientifique

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About

Lorenzo Benozzi is a leading researcher in multi-robot systems and autonomous navigation, with a focus on formation control and collision avoidance for robotic swarms. His most-cited work, "Formation building and collision avoidance for a fleet of NAOs based on optical sensor with local positions and minimum communication" (2019, 18 citations), introduces a decentralized framework enabling humanoid robots to maintain coordinated formations while avoiding collisions using only local optical sensing and minimal inter-robot communication. This contribution addresses a critical challenge in swarm robotics—scalable, communication-efficient coordination—and has influenced subsequent studies in distributed multi-agent systems. Benozzi’s research bridges theoretical control algorithms and practical implementation on NAO robots, demonstrating real-world viability. His work is particularly notable for its emphasis on low-bandwidth, sensor-driven strategies, which are essential for deploying robot teams in environments with limited connectivity, such as disaster response or exploration. With 18 citations, this paper remains a reference point for researchers working on formation control and collision avoidance in resource-constrained robotic systems.