Weiwei Zhan

Shanghai Maritime University, Hunan University

Papers

Total Citations

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About

Weiwei Zhan is a leading researcher in autonomous robotics, specializing in multi-sensor fusion, resilient formation control, and navigation for complex environments. His most impactful work, "The Navigation System of a Logistics Inspection Robot Based on Multi-Sensor Fusion in a Complex Storage Environment" (2022, 13 citations), introduces a novel robot navigation system that integrates vision and multiline lidar data. This system ensures accurate mapping and reliable autonomous cruise in challenging logistics storage settings, addressing critical gaps in industrial automation. Zhan also tackles cybersecurity threats in robotics with his 2023 paper on "Koopman Operation-Based Leader-Following Formation Control for Nonholonomic Mobile Robots Under Denial-of-Service Attacks" (1 citation). Here, he pioneers a Koopman operator framework to maintain desired robot formations despite intermittent communication disruptions caused by DoS attacks—a nontrivial challenge in networked systems. By combining theoretical rigor with practical solutions, Zhan advances the resilience and autonomy of mobile robots in real-world applications. His work has significant implications for logistics, warehouse automation, and multi-robot coordination, earning him recognition as an innovator bridging control theory and applied robotics.