Zhenyang Guo

National Taipei University of Technology, Hohai University

Papers

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About

Zhenyang Guo is a researcher at the intersection of software test automation and intelligent logistics systems. His work spans two critical domains: enhancing software quality through automated testing and optimizing material handling in modern warehousing. In software engineering, Guo developed an automation tool that converts test steps into keywords for automated test development, leveraging the Robot Framework—an extensible, Python-based platform widely used for acceptance test-driven development. This contribution simplifies test creation and improves readability, addressing practical challenges in end-to-end testing. In logistics, Guo tackles the complex problem of coordinated scheduling for zero-wait RGV/ASR warehousing systems with finite buffers. His research addresses conflicts and deadlocks in Rail Guided Vehicles and Air Sorting Robots, which are essential for managing inbound and outbound tasks in salt warehouses. As task volumes increase, Guo’s scheduling solutions ensure efficient, conflict-free operations. While his work is early-stage with recent publications in 2024 and 2025, his dual focus on automation and optimization demonstrates a forward-looking approach to solving real-world industrial challenges, promising significant impact as his research matures.