Victor Sucasas
Papers
2
Total Citations
32
H-Index
2
About
Victor Sucasas is a leading researcher in underwater networking and autonomous systems, with a primary focus on enabling robust communication and cooperation among heterogeneous marine vehicles. His work is central to the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project, where he addresses the critical challenge of managing autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs), and unmanned surface vehicles (USVs) in coordinated missions. Sucasas’s most cited paper, “A Probabilistic and Highly Efficient Topology Control Algorithm for Underwater Cooperating AUV Networks” (2017, 24 citations), introduces a novel algorithm that optimizes network topology for reliable data exchange in dynamic underwater environments. In his subsequent work, “Integrated Communication Network for Underwater Applications: the SWARMs Approach” (2018, 8 citations), he further develops high-performance communication frameworks to support the exploitation of marine resources and environmental monitoring. Sucasas’s contributions are pivotal for advancing the accessibility and utility of underwater robotic platforms, directly impacting fields such as oceanography, offshore energy, and defense. His research stands out for its practical approach to solving real-world networking constraints, making him a key figure in the evolution of autonomous underwater systems.
Research Focus
Key Achievements
Top Papers
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