Wenzhao Chen

Shantou University, Shenzhen Academy of Robotics

Papers

Total Citations

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About

Wenzhao Chen is a robotics researcher whose work focuses on enabling seamless collaboration and precise localization for autonomous systems in industrial environments. His key research areas include edge computing for multi-robot coordination, fiducial marker systems, and autonomous mobile robot docking. Chen’s major contributions center on developing practical, cost-effective solutions to real-world manufacturing challenges. His 2019 paper on the “Collaborative Robot Transport System Based on Edge Computing” (9 citations) introduced a heterogeneous robot collaboration framework using an edge computing architecture and the “StellaX” mobile robot, demonstrating how distributed intelligence can enhance robustness in manufacturing and search-and-rescue tasks. He further advanced industrial robotics with the “FiMa-Reader” system (2023, 5 citations), a cost-effective fiducial marker reader that addresses critical docking challenges—complex deployment, lighting sensitivity, and product recognition—making autonomous docking more reliable on factory floors. Most recently, his “CopperTag” (2024, 2 citations) tackles the persistent problem of marker occlusion in industrial settings, offering a real-time, resilient alternative to traditional AprilTag and ArUco systems. Chen’s work stands out for its focus on bridging the gap between laboratory robotics and practical, deployment-ready solutions for modern manufacturing.