Xiao–Yi Zhang

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Xiao-Yi Zhang is a researcher at the forefront of software testing and autonomous systems, with a particular focus on the verification of robotic and cyber-physical systems. Their most cited work, "Metamorphic Testing of an Autonomous Delivery Robots Scheduler" (2024, 4 citations), addresses the critical "oracle problem" in testing optimisation-based schedulers for autonomous delivery robots—systems that allocate robots to orders to maximise deliveries. By applying metamorphic testing, Zhang provides a novel methodology to validate these schedulers without requiring a perfect oracle, a significant contribution to ensuring reliability in autonomous logistics. This work highlights Zhang's expertise in software engineering, testing automation, and the practical challenges of deploying AI-driven systems in real-world environments. Though early in their career, Zhang's research has already demonstrated impact by tackling a pressing issue in the rapidly growing field of autonomous delivery, offering both theoretical insights and practical solutions for developers and testers. Their work is essential reading for anyone interested in the intersection of software quality assurance and robotics.