Gemma And jar Moreno

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About

Gemma Andjar Moreno is a researcher at the intersection of robotics and radio-frequency identification (RFID) technology, with a primary focus on bridging the gap between simulation and real-world deployment. Her most-cited work, "Simulation of RFID Systems in ROS-Gazebo" (2022), addresses a critical bottleneck in robotic perception: the lack of accurate, accessible simulation tools for RFID-enabled robots. In this paper, she presents a novel ROS-Gazebo plugin that models the probabilistic behavior of RFID readers mounted on robots interacting with tags in the environment. This contribution enables researchers to test and validate RFID-based localization and tracking algorithms in high-fidelity simulated settings before physical implementation. While her citation count is still growing—reflecting the early stage of this specialized field—the work is foundational for integrating RFID into robotic systems for logistics, warehousing, and autonomous navigation. Andjar Moreno’s research is particularly valuable for students and engineers seeking to prototype RFID-augmented robotics without costly hardware, and her plugin has been adopted in academic and industrial labs exploring sensor fusion and digital twin technologies. Her work exemplifies how simulation can accelerate innovation in cyber-physical systems.