Dannilo Samuel Silva Miranda

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About

Dannilo Samuel Silva Miranda is a researcher whose work sits at the intersection of robotics, artificial intelligence, and multi-agent systems. His primary research focus is on developing intelligent, coordinated navigation strategies for teams of robots, a field critical for applications ranging from warehouse automation to search-and-rescue operations. Miranda’s most notable contribution is the development of a ROSPlan-based multi-robot navigation system, which integrates automated planning with the Robot Operating System (ROS) to enable multiple robots to collaborate efficiently and robustly. This work, published in 2018 and garnering 6 citations, demonstrates how multi-robot systems can outperform single-robot setups by reducing execution time and increasing resilience, especially when cooperative actions are required. By addressing the challenges of joint task execution and real-time coordination, Miranda has helped advance practical frameworks for deploying scalable robotic teams. His research highlights the growing importance of combining AI planning with distributed robotics, offering a foundation for future innovations in autonomous multi-robot operations.