Gabriel Arpino
Papers
2
Total Citations
4
H-Index
2
About
Gabriel Arpino’s research focuses on the theoretical foundations of multi-robot systems, particularly the distinction between swarm algorithms and general multi-robot coordination. His key contributions center on using information invariants—a framework that quantifies the type and locality of information available to robots—to rigorously compare these two paradigms. In his most-cited works (2018), Arpino demonstrates that robotic swarms rely on decentralized, local information from proximal neighbors to produce emergent collective behaviors, while general multi-robot systems can leverage global or all-to-all communication. By formalizing these differences, he provides a powerful lens for understanding when swarm intelligence is sufficient versus when more centralized control is necessary. Though his citation counts are modest (2 each), these papers represent foundational steps in a critical area of robotics theory. Arpino’s work is notable for bridging the gap between swarm engineering and broader multi-robot coordination, offering researchers a clear vocabulary to compare algorithms. For students and scholars, his contributions are essential reading for anyone designing or analyzing distributed robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2