Xiaochun Zhang

Anhui University of Finance and Economics, Commercial Aircraft Corporation of China (China)

Papers

Total Citations

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About

Xiaochun Zhang is a pioneering researcher at the intersection of human-robot interaction and industrial automation, with a core focus on developing conversational AI systems for manufacturing environments. Her most significant contribution is the creation of **ToD4IR**, a humanised task-oriented dialogue system that enables natural, flexible communication between operators and industrial robots—a domain where prior work had largely remained theoretical. This work, which has garnered 37 citations, addresses the critical gap in real-world deployment by introducing a domain-specific discourse corpus tailored for factory floors. Zhang further advanced the field with **IRWoZ**, an Industrial Robot Wizard-of-Oz dialoguing dataset (14 citations), which provides a replicable framework for training and evaluating conversational agents in industrial settings. Her research uniquely bridges social robotics and heavy machinery, demonstrating how conversational AI can enhance safety and efficiency in manufacturing. More recently, Zhang has expanded into adaptive control systems, as seen in her 2025 work on load-sensitive impedance control for electrohydrostatic actuators, showcasing her versatility in combining software intelligence with hardware resilience. Her work is essential reading for anyone interested in the practical deployment of dialogue systems beyond the lab.