Ramina Ghods

Papers

Total Citations

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About

Ramina Ghods is a robotics and artificial intelligence researcher whose work centers on multi-agent systems, active search, and probabilistic decision-making for autonomous robots. Her research addresses one of the most pressing challenges in disaster response and environmental monitoring: how to deploy teams of autonomous agents to efficiently locate sparse targets — such as gas leaks, radiation sources, or human survivors — in unknown and potentially dangerous environments. Ghods has made significant contributions to the development of decentralized and asynchronous active search algorithms, enabling multiple robots to coordinate intelligently without relying on centralized control. Her work tackles fundamental uncertainties in real-world robotics, including both detection and localization uncertainty, producing adaptive algorithms that improve search efficiency as agents accumulate observations. A notable achievement is her development of GUTS (Generalized Uncertainty-Aware Thompson Sampling), a sophisticated probabilistic framework designed to handle the complexities of asynchronous multi-agent coordination. Her publications, spanning from 2020 to 2023, each garnering citations within a growing research community, reflect a consistent and focused research trajectory at the intersection of robotics, Bayesian inference, and autonomous decision-making — work with meaningful real-world implications for emergency response and environmental safety.