Yuqian Lu

Lecturer

University of Auckland

New Zealand

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Yuqian Lu is a Lecturer at The University of Auckland, New Zealand. His research areas include smart manufacturing, human-robot collaboration, and digital twin technologies. His recent publications focus on topics such as multi-agent reinforcement learning, machining quality characterization, and dynamic reconfiguration in manufacturing systems.

Yuqian Lu

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Articles (18)

Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives

A method for constructing a machining knowledge graph using an improved transformer

An ontology and rule-based method for human–robot collaborative disassembly planning in smart remanufacturing

Smart manufacturing enabled by intelligent technologies

Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools

Ensemble Bayesian Network for root cause analysis of product defects via learning from historical production data

Knowledge graph-enhanced multi-agent reinforcement learning for adaptive scheduling in smart manufacturing

Human-Robot Shared Assembly Taxonomy: A step toward seamless human-robot knowledge transfer

A systematic framework for tackling anomalous pre-welding workpiece postures with regular butt joints based on prototype features

One-shot, integrated positioning for welding initial points via co-mapping of cross and parallel stripes

Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning

A digital thread-driven distributed collaboration mechanism between digital twin manufacturing units

Dynamic muscle fatigue assessment using s-EMG technology towards human-centric human-robot collaboration

Dynamic production scheduling towards self-organizing mass personalization: A multi-agent dueling deep reinforcement learning approach

Prognostics and health management via long short-term digital twins

Adaptive reconstruction of digital twins for machining systems: A transfer learning approach

Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell

3DSMDA-Net: An improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition

Collaborators (6)

Chao Liu

Yuchun Xu

Lihui Wang

Shokraneh K. Moghaddam

Yu Jia

Ming Zhang

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