Nicole Fronda

Oregon State University, University of Southern California

Papers

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About

Nicole Fronda’s research lies at the intersection of multi-robot systems, distributed sensing, and resilient autonomy, with a focus on ensuring reliable performance under uncertainty. Her major contributions address the critical challenge of maintaining resource availability in networked robot teams during multi-target tracking—even when the number of targets is unknown or targets are influenced by unpredictable external inputs. In her most-cited work (2023, 14 citations), Fronda introduced a framework for resilient multi-robot multi-target tracking that accounts for exogenous disturbances, enabling teams to dynamically reconfigure their sensing and computational resources to sustain tracking accuracy. Her earlier work (2021) extended this to scenarios with an unknown number of targets, proposing reconfiguration strategies that allow robot networks to adapt without prior knowledge of the environment. These contributions are foundational for real-world deployments in search-and-rescue, environmental monitoring, and surveillance, where system resilience is paramount. Fronda’s work is notable for bridging theoretical guarantees with practical distributed algorithms, making her a rising voice in resilient multi-robot coordination.