Timea Bagosi

Free University of Bozen-Bolzano, Delft University of Technology

Papers

Total Citations

H-Index

About

Timea Bagosi is a researcher whose work sits at the intersection of pervasive computing and multi-agent robotics, with a focus on enabling intelligent systems to operate in complex, real-world environments. Her most-cited paper, "Indoor localization by WiFi" (2011, 32 citations), addresses the growing demand for accurate positioning indoors by leveraging existing 802.11 WiFi infrastructure. In this work, she developed a system to locate a robot within a university building, demonstrating a practical, cost-effective solution that bypasses the need for specialized hardware—a contribution that remains foundational for indoor navigation research. Bagosi’s later work shifts toward high-stakes, collaborative human-robot systems. In "Ontological reasoning for human-robot teaming in search and rescue missions" (2016, 15 and 9 citations), she proposes a multi-agent framework where each agent supports either a human rescuer or a robot, using ontological reasoning to build shared situation awareness. This research is notable for its focus on teaming dynamics and semantic understanding in disaster scenarios, bridging the gap between autonomous robots and human decision-making. With a combined citation impact of 56, Bagosi’s contributions highlight her ability to tackle both foundational infrastructure challenges and advanced AI-driven coordination, making her work relevant to students and researchers in robotics, ubiquitous computing, and emergency response systems.