Haonan Fan
Papers
2
Total Citations
15
H-Index
2
About
Haonan Fan is a robotics researcher specializing in the distributed control and coordination of multi-agent systems, with a focus on achieving consensus in large-scale robotic networks. His work addresses fundamental challenges in networked robotics, particularly the destabilizing effects of communication and measurement delays. Fan’s most influential paper, “Consensus Stability of a Large-Scale Robotic Network Under Input and Transmission Delays” (2021, 13 citations), provides a theoretical framework proving that consensus stability in nonlinear differential-wheeled robot networks can be ensured if the linearized dynamics remain stable despite delays—a critical insight for real-world deployments. In his subsequent work, “Predictor-Based Stabilization of Multiple Differential-wheeled Robots under Measurement Delays: Controller Gain Design for Fast Consensus” (2020, 2 citations), he further advances the field by developing practical controller gain tuning strategies that enable fast consensus even when robot states are only available after delays, as common in remote control scenarios. Fan’s contributions are particularly valuable for applications in search-and-rescue, warehouse automation, and environmental monitoring, where reliable coordination under imperfect communication is essential. His research bridges rigorous control theory with practical implementation, offering both stability guarantees and actionable design guidelines for engineers building resilient multi-robot systems.
Research Focus
Key Achievements
Top Papers
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