Marco Coraggio
Papers
3
Total Citations
13
H-Index
2
About
Marco Coraggio is a leading researcher in the control and coordination of multi-agent systems, with a focus on geometric pattern formation and human-robot interaction. His most-cited work, "Distributed control for geometric pattern formation of large-scale multirobot systems" (2023, 9 citations), introduces novel strategies for enabling swarms of drones or robots to autonomously form precise geometric patterns—critical for applications like surveillance and smart transportation. Coraggio’s research extends into cognitive architectures, as seen in his 2024 paper on "Learning-based cognitive architecture for enhancing coordination in human groups" (2 citations), where he leverages reinforcement learning to improve dynamics in human-avatar teams. He also pioneers data-driven methods to encode information—such as emotional cues—into robot and avatar kinematics, demonstrated in his 2024 work on "Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars" (2 citations). By blending distributed control, machine learning, and human-centered design, Coraggio advances the frontier of autonomous systems that seamlessly integrate with human groups, offering transformative potential for virtual reality, collaborative robotics, and beyond.
Research Focus
Key Achievements
Top Papers
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