Paul J Bonczek

University of Virginia

Papers

1

Total Citations

11

H-Index

1

About

Paul J. Bonczek is a researcher at the forefront of resilient multirobot systems, specializing in the coordination and security of robotic swarms. His work addresses a critical vulnerability in cooperative multirobot systems: the threat of stealthy cyber attacks that can hijack communication and compromise collective motion. In his highly cited 2022 paper, "Detection of Nonrandom Sign-Based Behavior for Resilient Coordination of Robotic Swarms" (11 citations), Bonczek introduced a novel detection framework that identifies malicious behavior by analyzing nonrandom sign patterns in consensus-based coordination. This contribution is pivotal for ensuring that swarms—whether used in search-and-rescue, environmental monitoring, or defense—can maintain their intended goals even under attack. By bridging control theory and cybersecurity, Bonczek’s research offers a practical pathway to more robust autonomous systems. His work is increasingly recognized as foundational for the next generation of resilient, decentralized robotic networks, making him a key voice in the field of multiagent systems and cyber-physical security.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Detection of Nonrandom Sign-Based Behavior for Resilient Coordination of Robotic Swarms
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Virginia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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