Stephanie Gil
Harvard University, Arizona State University, Intel (United States)
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
Top Papers
- 1
- 2Switching Topology for Resilient Consensus using Wi-Fi Signals16 citations · 2019
- 3Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots14 citations · 2023
- 4K-robots clustering of moving sensors using coresets6 citations · 2013
- 5
- 6
- 7Providing Local Resilience to Vulnerable Areas in Robotic Networks2 citations · 2022
- 8
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- 10