Xun Xu

Professor

University of Auckland

New Zealand

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Professor Xun Xu is a faculty member at the University of Auckland, New Zealand. His research focuses on advanced manufacturing technologies, specifically in the fields of AI agents, collaborative robotics, and digital twin development. Recent publications highlight his work on monitoring frameworks, quality control automation, and ergonomic designs for human-robot collaboration.

Xun Xu

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Articles (27)

AI Agents and Agentic AI–navigating a plethora of concepts for future manufacturing

Towards instructional collaborative robots: From video-based learning to feedback-adapted instruction

Success criteria for value-oriented digital twin development and implementation: insights from an industry case study

A novel dynamic spatio-temporal graph based condition monitoring framework for consistency retention of digital twin

Milling surface roughness monitoring using real-time tool wear data

Graph-enabled cognitive digital twins for causal inference in maintenance processes

A Novel High-Fidelity Simulation for Finishing Operations: Hybrid Image Mosaic and Wavelet Decomposition

Multi-objective optimization of machining parameters based on an improved Hopfield neural network for STEP-NC manufacturing

Time series prediction for production quality in a machining system using spatial-temporal multi-task graph learning

Advances and innovations in manufacturing systems research 2024

Energy consumption and surface roughness modelling for multi-objective optimisation of machining processes

Machining quality prediction of multi-feature parts using integrated multi-source domain dynamic adaptive transfer learning

Service oriented digital twin for additive manufacturing process

Ergonomic design of Human-Robot collaborative workstation in the Era of Industry 5.0

Automating Quality Control on a Shoestring, a Case Study

Dual-sided co-machining scheme optimization for thin-wall components with complex geometry

Production quality prediction of multistage manufacturing systems using multi-task joint deep learning

Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review

Editorial notes: Industrial Internet-of-Things (IIoT)-enabled digital servitisation

Sequence generation for multi-task scheduling in cloud manufacturing with deep reinforcement learning

Factor selection of product quotation with incomplete covering rough set

Automating life cycle assessment for additive manufacturing with machine learning: Framework design, dataset buildup, and a case study

Digitising a Machine Tool for Smart Factories

Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score

Intelligent feature recognition for STEP-NC-compliant manufacturing based on artificial bee colony algorithm and back propagation neural network

LMPF: A novel method for bill of standard manufacturing services construction in cloud manufacturing

Editorial – Industrial intelligence for big data analytics

Collaborators (6)

Mattia Guidolin

Chun-Hsien Chen

Lihui Wang

ali keshvarparast

Sheng Yang

Tang Ji

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