Pablo Royo

Papers

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About

Pablo Royo is a leading researcher at the intersection of robotics and high-performance computing (HPC), with a focus on enabling advanced autonomy for multi-robot aerial systems. His work pioneers the integration of supercomputing capabilities directly onto robotic platforms, addressing the critical challenge of processing complex algorithms in real-time under strict energy and weight constraints. Royo’s most cited paper, "Towards high performance robotic computing" (2018, 11 citations), lays the foundational framework for embedding HPC into robotic architectures, while his follow-up study, "On-Board High-Performance Computing For Multi-Robot Aerial Systems" (2017, 6 citations), demonstrates practical implementations using low-energy-consumption multi/many core devices. These contributions are pivotal for advancing swarm robotics, autonomous navigation, and real-time decision-making in aerial systems. By bridging the gap between traditional HPC and resource-limited robotic hardware, Royo’s work has inspired new approaches to on-board intelligence, earning recognition for its potential to transform fields from disaster response to environmental monitoring. His research continues to push the boundaries of what autonomous robots can achieve when equipped with the computational power once reserved for supercomputers.