Xin Gong
Papers
2
Total Citations
27
H-Index
1
About
Xin Gong is an emerging researcher specializing in resilient multi-robot and multi-UAV systems, with a particular focus on cybersecurity threats in autonomous cooperative networks. Their work sits at the critical intersection of human-robot interaction, distributed control systems, and adversarial robustness — addressing some of the most pressing challenges facing modern autonomous systems deployed in real-world environments. Gong's most notable contribution, "Resilient Human-in-the-Loop Formation-Tracking of Multi-UAV Systems Against Byzantine Attacks" (2024), has already garnered 26 citations, a remarkable achievement for a recently published work. This research tackles the formidable challenge of maintaining reliable UAV formation coordination even when up to *f*-local Byzantine adversaries compromise the system — a problem with significant implications for defense, disaster response, and infrastructure inspection applications. Complementing this, Gong's work on denial-of-service resilience in heterogeneous multi-robot teams introduces predictive network-reconfiguration strategies, demonstrating a sophisticated systems-level approach to maintaining operational continuity under attack. Together, these contributions establish Gong as a promising voice in resilient autonomy research, advancing frameworks that make collaborative robotic systems meaningfully safer and more trustworthy in adversarial conditions.
Research Focus
Key Achievements
Top Papers
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- 2