Jelena Stanulovic

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About

Jelena Stanulovic is a researcher specializing in robotics, wireless sensor networks, and task allocation algorithms. Her most notable contribution is the development of the Greedy-Face-Greedy (GFG) routing-based algorithms, GFGF1 and GFGF2, introduced in her 2019 paper on robot task allocation. These algorithms address the critical challenge of efficiently assigning robots to respond to events detected by sensors, optimizing for proximity and reducing response time. By leveraging the GFG routing protocol, Stanulovic’s work bridges the gap between sensor network event detection and autonomous robotic response, offering a scalable solution for dynamic environments. While her citation count is currently modest at 3, her research lays foundational groundwork for integrating routing strategies with multi-robot coordination. This work is particularly relevant for applications in disaster response, environmental monitoring, and smart infrastructure, where rapid, decentralized decision-making is essential. Stanulovic’s focus on algorithmic efficiency and real-world applicability positions her as an emerging voice in the field of networked robotics, with potential for significant future impact as autonomous systems become more prevalent.