Marco Fabris
Papers
1
Total Citations
4
H-Index
1
About
Marco Fabris is a researcher whose work lies at the intersection of distributed robotics, control theory, and autonomous systems. His primary research areas include multi-agent coordination, dynamic coverage control, and sensor-limited navigation in complex environments. Fabris is best known for his contributions to developing distributed algorithms that enable robotic teams to perform coverage, clustering, and dispatch tasks in obstacle-structured environments without relying on metric information. His 2019 paper, "Distributed Strategies for Dynamic Coverage with Limited Sensing Capabilities," has garnered 4 citations and addresses the critical trade-off between local communication and global task efficiency. This work is notable for advancing the field of swarm robotics by demonstrating how agents with constrained sensing can still achieve effective spatial coordination. Fabris’s research has practical implications for search-and-rescue missions, environmental monitoring, and autonomous exploration. His achievements include pioneering methods that reduce the computational and sensory burden on individual robots while maintaining collective performance, making his work highly relevant for students and researchers interested in scalable, resilient multi-robot systems.
Research Focus
Key Achievements
Top Papers
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