Juan F. De Paz

Papers

Total Citations

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About

Juan F. De Paz is a leading researcher in artificial intelligence and multi-agent systems, with a focus on robotics and intelligent transport. His work centers on developing autonomous architectures for complex, real-world environments, particularly in disaster response and urban mobility. A key contribution is his early work on the ARTIS agent architecture, which introduced an execution time planner for multi-agent coordination, earning 36 citations and laying the groundwork for adaptive robotic systems. More recently, De Paz has advanced the field of Robotic Urban Search and Rescue (USAR) with a novel swarm architecture that uses anti-pheromone algorithms to coordinate robots efficiently during natural disasters. This distributed approach, detailed in his 2021 paper (12 citations), enables robust human-robot cooperation in chaotic settings. He has also explored intelligent transport systems by developing methods to recognize environmental elements, improving autonomous vehicle navigation. De Paz’s research bridges theoretical agent design and practical deployment, with his work on swarm robotics and multi-agent planning influencing both academic studies and real-world rescue operations. His contributions demonstrate a commitment to creating scalable, resilient AI systems that operate effectively in dynamic, unpredictable environments.