Xavier Prats

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About

Xavier Prats is a researcher at the forefront of high-performance computing (HPC) for autonomous robotic systems, with a particular focus on multi-robot aerial platforms. His work addresses the critical challenge of enabling complex, real-time decision-making and coordination in resource-constrained environments, such as drone swarms. Prats’s most cited paper, “Towards high performance robotic computing” (2018, 11 citations), lays the foundational framework for integrating supercomputing capabilities into robotic architectures. He further advances this vision in “On-Board High-Performance Computing For Multi-Robot Aerial Systems” (2017, 6 citations), demonstrating how low-energy-consumption multi/many core embedded devices can transform aerial robots into powerful, autonomous agents. By bridging the gap between traditional HPC—used for solving humanity’s most complex problems—and the demanding, real-time needs of robotics, Prats is pioneering a new paradigm for intelligent, decentralized systems. His contributions are pivotal for applications ranging from search-and-rescue to environmental monitoring, where rapid, on-board computation is essential.