Papers

10

Total Citations

77

H-Index

4

About

Stephanie Gil is a robotics and autonomous systems researcher whose work sits at the intersection of multi-robot coordination, network security, and resilient decision-making. Her most significant contributions center on developing theoretical and practical frameworks that protect robot teams from adversarial attacks—a critical challenge as autonomous systems become increasingly embedded in real-world environments. Gil's landmark "Crowd Vetting" framework, her most cited work with 29 citations, demonstrated that robots can collaboratively identify and reject malicious agents during Sybil attacks by leveraging neighborhood trust signals—a novel approach that fundamentally advances the field of resilient multi-robot systems. Building on this foundation, her research on switching network topologies using Wi-Fi signals (16 citations) and resilient hypothesis testing exploiting stochastic trust observations (14 citations) further establishes her as a leading voice in physically-aware network security for robotics. Beyond security, Gil has contributed to mobile sensor clustering, reinforcement learning for partially observable systems, and most recently, multi-robot 3D reconstruction using Neural Radiance Fields combined with wireless coordination. Her body of work reflects a consistent commitment to making autonomous robot teams robust, trustworthy, and deployable in adversarial real-world conditions—making her research essential reading for anyone working in multi-agent systems or robot network security.

Research Focus

Key Achievements

4
H-Index
10
Papers
77
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Crowd Vetting: Rejecting Adversaries via Collaboration With Application to Multirobot Flocking
29 citations · 2021
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Harvard University, Arizona State University, Intel (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago