Patrick Prieto Soares

Universidade Tecnológica Federal do Paraná

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About

Patrick Prieto Soares is a leading researcher in swarm robotics and autonomous multi-agent systems, with a focus on enabling robots to collaboratively explore and operate in unknown environments. His most-cited work, "Group of Robots Inspired by Swarm Robotics Exploring Unknown Environments" (2018, 33 citations), introduces a novel approach that combines swarm intelligence principles with a Fuzzy Logic Controller (FLC) to guide multiple autonomous mobile robots in foraging tasks within semi-unknown or unknown terrains. This paper is notable for its practical framework, where robots navigate known area boundaries but must adapt to dynamic, unknown interior conditions—a critical step toward real-world deployment in search-and-rescue or environmental monitoring. Soares’s contributions lie in bridging theoretical swarm algorithms with adaptive control systems, demonstrating how decentralized, rule-based decision-making can achieve efficient collective exploration without centralized coordination. His work has influenced subsequent studies in multi-robot coordination and fuzzy-logic-based navigation, earning recognition for its clarity and applicability. For students and researchers, Soares’s research offers a compelling entry point into the challenges of designing resilient, scalable robotic swarms that can tackle complex, unstructured tasks.